CN101132533B

CN101132533B - Information signal processor, information signal processing method, image display, device and method generating data

Info

Publication number: CN101132533B
Application number: CN2007101489706A
Authority: CN
Inventors: 近藤哲二郎; 渡辺勉; 服部正明
Original assignee: Sony Corp
Current assignee: Sony Corp
Priority date: 2002-07-19
Filing date: 2003-07-18
Publication date: 2011-05-18
Anticipated expiration: 2023-07-18
Also published as: JP2004056459A; JP3991800B2; CN101132533A

Abstract

An information signal processing device and the like that can be suitably applied to a digital broadcast receiver or the like. A classifying part (130) produces a class code (CL) indicative of a class to which pixel data (y) of interested position in an image signal (Vb) belong. Difference data (DF)(encoded-noise correction data) corresponding to the interested position is read, based on the class code (CL), from a storage table (131). Pixel data (x) (pixel value or DCT coefficient) corresponding to the interested position in the image signal (Vb) is supplied to an adding part (134). The adding part (134) adds the difference data (DF) read from the storage table (131) to the pixel data (x), thereby providing pixel data (y) of the interested position in the image signal (Vb). In this pixel data (y), the encoded noise (encoded distortion) has been reduced.

Description

Signal handling equipment and method, image display and data generating apparatus and method

The present invention is to be on July 18th, 2003 applying date, and application number is dividing an application of 03817222.4 application for a patent for invention " information signal processing apparatus, information signal processing method method, image signal processing equipment, image display, generation with equipment and method, the equipment and the method for generation coefficient data, the program of carrying out these methods and stored program computer-readable media of therein correction data ".

Technical field

Equipment that be applied to, processing and information signal etc. when the present invention relates to be preferably in the coding noise that reduces the information signal that decoding and coding message digit signal obtains.

More particularly, the present invention relates to according to the input information signal, detect the affiliated classification of pixel data of the target location in the output information signal, and utilize and the corresponding correction data of the classification that detects, proofread and correct to constitute in the middle of the information data item of input information signal, with the output information signal in target location information corresponding data, obtaining the information data of the target location in this output information signal, thereby make equipment of the processing and information signal that the coding noise of the information signal that occurs reduces greatly etc. in decoding and coding message digit signal process.

The invention still further relates to the affiliated corresponding correction data of first category in target location in utilization and the output information signal, proofread and correct in the middle of the information data item that constitutes the input information signal, with the target location information corresponding data in this output information signal, and utilization is arranged in around the target location of output information signal, the multinomial information data of selecting according to the control information data and with this output information signal in the target location under the corresponding coefficient data of second classification, generate the information data of the target location in this output information signal according to estimate equation, thereby make equipment of the processing and information signal that the coding noise of the information signal that occurs reduces greatly etc. in decoding and coding message digit signal process.

Background technology

As the compression coding scheme of picture signal, be well-known based on the encoding scheme of the Motion Picture Experts Group that utilizes discrete cosine transform (DCT) (MPEG) standard.DCT handles and to be done in such a way that the pixel in each piece is carried out discrete cosine transform, to obtain coefficient data, and the coefficient data that so obtains of re-quantization then by discrete cosine transform, and with the coefficient data of variable length code re-quantization.About such variable length code, usually use the entropy coding such as Huffman (Huffman) coding.View data is carried out orthogonal transform coding, so that it is divided into many frequency data from the low frequency to the high frequency.

There is such feature, when dividing the frequency data, take into account that human eyesight ground is thin to quantize more important low-frequency component data, and take into account the mode of the more unessential radio-frequency component data of the thick quantification in human eyesight ground when re-quantization, high quality image can be kept, efficient compression can also be realized.

In traditional DCT decoding, the quantized data of each frequency content is transformed into its central value, and those compositions are carried out inverse discrete cosine transform (IDCT), thereby obtain the reproduction data.When the quantization step in the coding is used in it is transformed into central value.

As mentioned above, have such feature,, can keep high quality image, can also realize efficient compression by taking into account the coding of human eyesight based on the encoding scheme of the MPEG that utilizes DCT.

But DCT coding is to be the encoding process of unit with the piece, therefore, when compression ratio is higher, presents and block distortion may occur, and this is a kind of known block noise (piece distortion).In the image section such as the edge that has clearly demarcated luminance transition, a kind of known mosquito noise the spot shape noise that the thick quantification to radio-frequency component causes also can appear.

Such coding noise (coding distortion) not only may appear in the encoding scheme based on MPEG, and may appear in other encoding scheme.

Summary of the invention

The objective of the invention is greatly to be reduced in the coding noise (coding distortion) of the information signal that occurs in the decoding and coding message digit signal process.

The equipment relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: data selection means, be used for according to first information signal, select to be arranged in the target location multinomial first information data on every side of second information signal; The classification checkout gear is used for the multinomial first information data according to the data selection means selection, detects the affiliated classification of information data of target location; The correction data generating apparatus is used to generate the correction data of correction coding noise, and correction data is corresponding with the classification that the classification checkout gear detects; And means for correcting, be used to utilize the correction data of correction data generating apparatus generation, to in the middle of the multinomial information data that constitutes first information signal, carry out treatment for correcting with corresponding second information data in target location in second information signal, to obtain the information data of the target location in second information signal.

The method relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used for according to first information signal, select to be arranged in the target location multinomial first information data on every side of second information signal; Second step is used for the multinomial first information data according to the first step selection, detects the affiliated classification of information data of target location; Third step is used to generate the correction data of correction coding noise, and correction data is corresponding with the classification that second step detects; With the 4th step, be used to utilize the correction data of third step generation, to in the middle of the multinomial information data that constitutes first information signal, carry out treatment for correcting with corresponding second information data in target location in second information signal, to obtain the information data of the target location in second information signal.

The program relevant with the present invention makes computer carry out the method for above-mentioned processing and information signal.The computer-readable media record said procedure relevant with the present invention.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: data selection means, be used for according to first picture signal, select to be arranged in target location multinomial first pixel data on every side of second picture signal; The classification checkout gear is used for multinomial first pixel data according to the data selection means selection, detects the affiliated classification of pixel data of target location; The correction data generating apparatus is used to generate the correction data of correction coding noise, and correction data is corresponding with the classification that the classification checkout gear detects; And means for correcting, be used to utilize the correction data of correction data generating apparatus generation, to in the middle of the multinomial pixel data that constitutes first picture signal, with second picture signal in corresponding second pixel data in target location carry out treatment for correcting, to obtain the pixel data of the target location in second picture signal.

The image display relevant with the present invention comprises: the picture signal input unit, be used to make first picture signal input of forming by multinomial pixel data, and first picture signal obtains by the decoding and coding data image signal; Image signal processing apparatus is used for first picture signal by the input of picture signal input unit is converted to second picture signal of being made up of multinomial pixel data and exports it; And image display device, being used for image is presented at its image-display units, this image derives from from second picture signal of image signal processing apparatus output; Wherein, image signal processing apparatus comprises: data selection means, be used for according to first picture signal, and select to be arranged in target location multinomial first pixel data on every side of second picture signal; The classification checkout gear is used for multinomial first pixel data according to the data selection means selection, detects the affiliated classification of pixel data of target location; The correction data generating apparatus is used to generate the correction data of correction coding noise, and correction data is corresponding with the classification that the classification checkout gear detects; And means for correcting, be used to utilize the correction data of correction data generating apparatus generation, to in the middle of the multinomial pixel data that constitutes first picture signal, with second picture signal in corresponding second pixel data in target location carry out treatment for correcting, to obtain the pixel data of the target location in second picture signal.

In the present invention, generate the first information signal of forming by multinomial information data by decoding and coding message digit signal.According to this first information signal, select to be arranged in around the target location of second picture signal multinomial first information data and according to multinomial first information data, detect the selected classification of information data of target location.Picture signal or audio signal can be used as the example of information signal.

As mentioned above, generate and the correction data that detects the corresponding correction coding noise of classification.The correction data of each classification is stored in the storage device, so that from this storage device, read and detect the corresponding correction data of classification.This correction data is to utilize with the corresponding student signal of first information signal with the corresponding teacher signal of second information signal to generate in advance.For example, this student signal is to obtain by the message digit signal that the decoding and coding teacher signal obtains.Under these circumstances, student signal comprises coding noise (coding distortion).

The correction data of utilizing above-mentioned generation in the middle of the multinomial information data that constitutes first information signal, carry out treatment for correcting with corresponding second information data in target location in second information signal, with the information data of Generate Target Position.

For example, correction data comprise with second information signal in the difference data of the corresponding numeral of item number of information data of target location.In this case, if the item number of the information data of the target location in second information signal equals the item number with corresponding second information data in this target location, will can obtain the control information data in every second information data of corresponding correction data adding.

In addition, in this case, if the item number of the information data of the target location in second information signal is and the N of the item number of corresponding second information data in this target location doubly (N is the integer more than or equal to 2), corresponding second information data added in every the correction data that is included in each subregion that branches such as correction data being divided into N obtains obtains the control information data.

Like this, go out the classification under the pixel data of the target location in second information signal according to first information input, and utilize and the corresponding correction data of detection classification, proofread and correct to constitute in the middle of the multinomial information data of first information signal, with output information signal in target location information corresponding data, obtaining the information data of the target location in second information signal, thereby reduce coding noise (coding distortion) in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: data selection means, be used for according to first information signal, select to be arranged in the target location multinomial first information data on every side of second information signal; The classification checkout gear is used for the multinomial first information data according to the data selection means selection, detects the affiliated classification of information data of target location; The correction data generating apparatus is used to generate the correction data of the correction coding noise relevant with the coefficient of frequency that obtains by orthogonal transform, and correction data is corresponding with the classification of classification checkout gear detection; Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with corresponding second information data in target location of second information signal; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting; With the orthogonal inverse transform device, be used for the coefficient of frequency of correction is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used for according to first information signal, select to be arranged in the target location multinomial first information data on every side of second information signal; Second step is used for the multinomial first information data according to the first step selection, detects the affiliated classification of information data of target location; Third step is used to generate the correction data of the correction coding noise relevant with the coefficient of frequency that obtains by orthogonal transform, and correction data is corresponding with the classification of second step detection; The 4th step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with corresponding second information data in target location of second information signal; The 5th step, the correction data that is used to utilize third step to generate obtains coefficient of frequency to the 4th step and carries out treatment for correcting; With the 6th step, be used for the coefficient of frequency that the 5th step is proofreaied and correct is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: data selection means, be used for according to first picture signal, select to be arranged in target location multinomial first pixel data on every side of second picture signal; The classification checkout gear is used for multinomial first pixel data according to the data selection means selection, detects the affiliated classification of pixel data of target location; The correction data generating apparatus is used to generate the correction data of the correction coding noise relevant with the coefficient of frequency that obtains by orthogonal transform, and correction data is corresponding with the classification of classification checkout gear detection; Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding second pixel data in target location of second picture signal; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate is carried out treatment for correcting to the coefficient of frequency of orthogonal converter output; With the orthogonal inverse transform device, be used for the coefficient of frequency of means for correcting output is carried out orthogonal inverse transform, to obtain the pixel data of the target location in second picture signal.

The image display relevant with the present invention comprises: the picture signal input unit, be used to make first picture signal input of forming by multinomial pixel data, and first picture signal obtains by the decoding and coding data image signal; Image signal processing apparatus is used for first picture signal by the input of picture signal input unit is converted to second picture signal of being made up of multinomial pixel data and exports it; And image display device, being used for image is presented at its image-display units, this image derives from from second picture signal of image signal processing apparatus output; This image signal processing apparatus has the configuration identical with above-mentioned image signal processing apparatus.

As mentioned above, generate and the correction data that detects the corresponding correction coding noise of classification.For example, the correction data of each classification is stored in the storage device, so that from this storage device, read and detect the corresponding correction data of classification.This correction data is to utilize with the corresponding student signal of first information signal with the corresponding teacher signal of second information signal to generate in advance.For example, this student signal is to obtain by the message digit signal that the decoding and coding teacher signal obtains.In this case, student signal comprises coding noise (coding distortion).

To in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform (discrete cosine transform, wavelet transform, discrete sine transform etc.) with corresponding second information data in target location in second information signal.The coefficient of frequency that obtains by this orthogonal transform is utilized the treatment for correcting of the correction data that generates as mentioned above.The emending frequency coefficient is carried out orthogonal inverse transform, to obtain the information data of target location.

For example, correction data comprise with second information signal in the difference data of the corresponding numeral of item number of information data of target location.In this case, if the item number of the information data of the target location in second information signal equals the item number with corresponding second information data in this target location, corresponding correction data is added by obtaining to proofread and correct the back coefficient of frequency in each coefficient of frequency that second information data is carried out the orthogonal transform acquisition.

In addition, in this case, if the item number of the information data of the target location in second information signal is and the N of the item number of corresponding second information data in this target location doubly (N is the integer more than or equal to 2), will by second information data is carried out coefficient of frequency that orthogonal transform obtains add with the low-frequency component part of this second information data being carried out the corresponding correction data of coefficient of frequency that orthogonal transform obtains in can obtain to proofread and correct the back coefficient of frequency.

In addition, for example, correction data comprise with second information signal in the coefficient of frequency of the corresponding numeral of item number of information data of target location.In this case, if the item number of the information data of the target location in second information signal is and the N of the item number of corresponding second information data in this target location doubly (N is the integer more than or equal to 2), with replacing at least and the low-frequency component part of this second information data being carried out the corresponding above-mentioned correction data of coefficient of frequency that orthogonal transform obtains, to obtain to proofread and correct the back coefficient of frequency by second information data being carried out coefficient of frequency that orthogonal transform obtains.

Like this, go out the classification under the pixel data of the target location in second information signal according to first information input, utilize and the corresponding correction data of detection classification, proofread and correct in the middle of the multinomial information data that constitutes first information signal, corresponding with the target location in the output information signal, by information data being carried out the coefficient of frequency that orthogonal transform obtains, the emending frequency coefficient is carried out orthogonal inverse transform, obtaining the information data of the target location in second information signal, thereby reduce the coding noise (coding distortion) of the information signal that the decoding and coding digital signal obtains widely.

The unit of the generation correction data relevant with the present invention is the unit that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output; Substracting unit is used to utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, and the information data of the target location in the teacher signal is subtracted each other processing; And arithmetic unit, be used for the classification that detects according to the classification checkout gear, for each classification is asked the mean value of the dateout of substracting unit, to obtain the correction data of each classification.

The method of the generation correction data relevant with the present invention is the method that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used at least the student signal that obtains according at first step, detects the classification under the information data of the target location in the teacher signal; Third step is used to utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, and the information data of the target location in the teacher signal is subtracted each other processing; With the 4th step, be used for according to the classification that detects in second step, for each classification is asked the mean value of the data that obtain in third step, to obtain the correction data of each classification.

The program relevant with the present invention makes computer carry out the method for above-mentioned generation correction data.The computer-readable media record said procedure relevant with the present invention.

In the present invention, the first information signal of being made up of multinomial information data is the coded message digital signal.The invention provides generate be used in when first information conversion of signals become second information signal of being made up of multinomial information data, the unit of the correction data of correction coding noise.

The message digit signal that decoding obtains by the corresponding teacher signal of the coding and second information signal is to obtain and the corresponding student signal of first information signal.At least according to this student signal, detect the affiliated classification of information data of the target location in the teacher signal.

Utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, the information data of the target location in the teacher signal is subtracted each other processing.According to the classification that detects as mentioned above, ask this for each classification and subtract each other the mean value of handling the data that obtain, thereby obtain the correction data of each classification.

According to above, correction data when generation is used in first information conversion of signals become second information signal, but, when first information conversion of signals is become second information signal, use selectively with second information signal in the information data of target location under the corresponding correction data of classification, thereby calculate the information data of target location.Therefore, can reduce the coding noise of the information signal of decoding and coding message digit signal acquisition widely.

The unit of the generation correction data relevant with the present invention is the unit that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output; First orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; Second orthogonal converter is used for to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient; Substracting unit, the second frequency coefficient that is used to utilize second orthogonal converter to obtain, the first frequency coefficient that first orthogonal converter is obtained subtracts each other processing; And arithmetic unit, be used for the classification that detects according to the classification checkout gear, for each classification is asked the mean value of the dateout of substracting unit, to obtain the correction data of each classification.

The method of the generation correction data relevant with the present invention is the method that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used at least the student signal that obtains according at first step, detects the classification under the information data of the target location in the teacher signal; Third step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; The 4th step is used for to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient; The 5th step, the second frequency coefficient that is used to utilize the 4th step to obtain, the first frequency coefficient that third step is obtained subtracts each other processing; With the 6th step, be used for the classification that detects according to second step, for each classification is asked the mean value of the data that obtain in the 5th step, to obtain the correction data of each classification.

Information data to the target location in the teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient.Similarly, to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient.

Utilize the second frequency coefficient that the first frequency coefficient is subtracted each other processing.According to the classification that detects as mentioned above, ask this for each classification and subtract each other the mean value of handling the data that obtain, thereby obtain the correction data of each classification.

The unit of the generation correction data relevant with the present invention is the unit that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output; And arithmetic unit, be used for the classification that detects according to the classification checkout gear, for the mean value of the information data of the target location in each classification teacher of the seeking advice signal, to obtain the correction data of each classification.

The method of the generation correction data relevant with the present invention is the method that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used at least the student signal that obtains according at first step, detects the classification under the information data of the target location in the teacher signal; And third step, be used for according to the classification that detects in second step, for the mean value of the information data of the target location in each classification teacher of the seeking advice signal, to obtain the correction data of each classification.

According to the classification that detects as mentioned above, be the mean value of the information data of the target location in each classification teacher of the seeking advice signal, thereby obtain the correction data of each classification.

The unit of the generation correction data relevant with the present invention is the unit that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output; Orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain coefficient of frequency; And arithmetic unit, be used for the classification that detects according to the classification checkout gear, for each classification is asked the mean value of the coefficient of frequency that orthogonal converter obtains, to obtain the correction data of each classification.

The method of the generation correction data relevant with the present invention is the method that generates the correction data of correction coding noise, correction data be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used at least the student signal that obtains according at first step, detects the classification under the information data of the target location in the teacher signal; Third step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain coefficient of frequency; With the 4th step, be used for according to the classification that detects in second step, for each classification is asked the mean value of the coefficient of frequency that third step obtains, to obtain the correction data of each classification.

Information data to the target location in the teacher signal is carried out orthogonal transform, to obtain coefficient of frequency.Classification according to detecting as mentioned above for each classification is asked the mean value of coefficient of frequency, thereby obtains the correction data of each classification.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, in the middle of the multinomial information data that constitutes first information signal with second information signal in target location information corresponding data carry out treatment for correcting; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; Data selection means is used for the information data according to correction, selects to be arranged in the target location multinomial information data on every side of second information signal; With the information data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial information data that data selection means is selected, generate the information data of the target location in second information signal according to estimate equation.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used for utilizing the correction data that generates at first step, in the middle of the multinomial information data that constitutes first information signal with second information signal in target location information corresponding data carry out treatment for correcting; Third step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 4th step is used for the information data that basis is proofreaied and correct in second step, selects to be arranged in the target location multinomial information data on every side of second information signal; With the 5th step, be used for utilizing in coefficient data that third step generates and the multinomial information data of in the 4th step, selecting, generate the information data of the target location in second information signal according to estimate equation.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Means for correcting; The correction data that is used to utilize the correction data generating apparatus to generate, in the middle of the multinomial pixel data that constitutes first picture signal with second picture signal in the corresponding pixel data in target location carry out treatment for correcting; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; Data selection means is used for the pixel data according to correction, selects to be arranged in the target location multinomial pixel data on every side of second picture signal; With the pixel data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial pixel data that data selection means is selected, generate the pixel data of the target location in second picture signal according to estimate equation.

The image display relevant with the present invention is the image display that comprises as lower device: the picture signal input unit, be used to make first picture signal input of being made up of multinomial pixel data, first picture signal obtains by the decoding and coding data image signal; Image signal processing apparatus is used for first picture signal by the input of picture signal input unit is converted to second picture signal of being made up of multinomial pixel data and exports it; And image display device, being used for image is presented at its image-display units, this image derives from from second picture signal of image signal processing apparatus output; Wherein, image signal processing apparatus comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, and the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, in the middle of the multinomial pixel data that constitutes first picture signal with second picture signal in the corresponding pixel data in target location carry out treatment for correcting; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; Data selection means is used for the pixel data according to correction, selects to be arranged in the target location multinomial pixel data on every side of second picture signal; With the pixel data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial pixel data that data selection means is selected, generate the pixel data of the target location in second picture signal according to estimate equation.

In the present invention, generate the first information signal of forming by multinomial information data by decoding and coding message digit signal.Picture signal or audio signal can be used as the example of information signal.

The correction data of the corresponding correction coding noise of first category under the information data of the target location in the generation and second information signal.For example, the correction data of each classification is stored in the storage device, so that from this storage device, read and the corresponding correction data of first category.This correction data is to utilize with the corresponding student signal of first information signal with the corresponding teacher signal of second information signal to generate in advance.For example, this student signal is to obtain by the message digit signal that the decoding and coding teacher signal obtains.Under these circumstances, student signal comprises coding noise (coding distortion).

The correction data of utilizing above-mentioned generation is in the middle of the multinomial information data that constitutes first information signal, carry out treatment for correcting with the target location information corresponding data in second information signal.According to the information data of proofreading and correct, select to be arranged in the target location multinomial information data on every side of second information signal.

Generate corresponding with affiliated second classification of the information data of target location in second information signal, be used in the coefficient data in the estimate equation.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is to make the category classification meticulousr category classification relevant with described first category.

Utilization be arranged in around the target location of second information signal multinomial information data and with the information data of target location under the corresponding coefficient data of second classification, generate the information data of the target location in second information signal according to estimate equation.

Like this, the corresponding correction data of first category under the target location in the utilization and second information signal, proofread and correct in the middle of the information data item that constitutes the input information signal, with the target location information corresponding data in second information signal, and utilize and to select according to the control information data, be arranged in around the target location of second information signal multinomial information data and with the target location of second information signal under the corresponding coefficient data of second classification, generate the information data of the target location in second information signal according to estimate equation, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and second information signal the target location around corresponding a plurality of coefficient of frequencies; The coefficient of frequency generating apparatus, be used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With the orthogonal inverse transform device, be used for carrying out orthogonal inverse transform by the coefficient of frequency that the coefficient of frequency generating apparatus is generated, obtain the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Third step is used for utilizing the correction data that generates at first step, and the coefficient of frequency that obtains in second step is carried out treatment for correcting; The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 5th step is used for according to the coefficient of frequency of proofreading and correct at third step, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location; The 6th step is used for utilizing at the coefficient data that the 4th step generates and a plurality of coefficient of frequencies of selecting in the 5th step, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With the 7th step, be used for obtaining the information data of the target location in second information signal by the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding pixel data around the target location of second picture signal; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and second picture signal the target location around corresponding a plurality of coefficient of frequencies; The coefficient of frequency generating apparatus, be used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding coefficient of frequency of pixel data of the target location in the estimate equation generation and second picture signal; With the orthogonal inverse transform device, be used for carrying out orthogonal inverse transform by the coefficient of frequency that the coefficient of frequency generating apparatus is generated, obtain the pixel data of the target location in second picture signal.

The image display relevant with the present invention is the image display that comprises as lower device: the picture signal input unit, be used to make first picture signal input of being made up of multinomial pixel data, first picture signal obtains by the decoding and coding data image signal; Image signal processing apparatus is used for first picture signal by the input of picture signal input unit is converted to second picture signal of being made up of multinomial pixel data and exports it; And image display device, being used for image is presented at its image-display units, this image derives from from second picture signal of image signal processing apparatus output.This image signal processing apparatus has the configuration identical with the equipment of above-mentioned processing picture signal.

To in the middle of the multinomial information data that constitutes first information signal, with second information signal in the target location around the information corresponding data carry out orthogonal transform (discrete cosine transform, wavelet transform, discrete sine transform etc.).The coefficient of frequency that obtains by this orthogonal transform is utilized the treatment for correcting of the correction data that generates as mentioned above.

According to the coefficient of frequency of proofreading and correct, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location.And, generate corresponding with affiliated second classification of the information data of target location in second information signal, be used in the coefficient data in the estimate equation.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

Utilize with second information signal in the target location around corresponding a plurality of coefficient of frequencies and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding coefficient of frequency of information data of target location.Then the coefficient of frequency that generates is carried out orthogonal inverse transform, thereby obtain the information data of target location.

Like this, the corresponding correction data of first category under the target location in the utilization and second information signal, correction is in the middle of the information data item that constitutes the input information signal, carry out the coefficient of frequency that orthogonal transform obtains with the target location information corresponding data in the output signal, and utilize and to select according to the control information data, around the target location in each and second information signal corresponding a plurality of coefficient of frequencies and with second information signal in the target location under the corresponding coefficient data of second classification, the corresponding coefficient of frequency of information data according to the target location in the estimate equation generation and second information signal, so that by coefficient of frequency is carried out orthogonal inverse transform, obtain the information data of the target location in second information signal, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; First data selection means is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal; Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial information data; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; With the information data generating apparatus, be used for coefficient data, the multinomial information data of first data selection means selection and the multinomial correction data that second data selection means is selected that the usage factor data generating device generates, generate the information data of the target location in second information signal according to estimate equation.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal; Third step is used for the correction data that basis generates at first step, selects and the corresponding multinomial correction data of selecting in second step of multinomial information data; The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; With the 5th step, be used for utilizing in the coefficient data that the 4th step generates, the multinomial information data of in second step, selecting and the multinomial correction data in third step, selected, generate the information data of the target location in second information signal according to estimate equation.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; First data selection means is used for according to first picture signal, selects to be arranged in the target location multinomial pixel data on every side of second picture signal; Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial pixel data; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; With the pixel data generating apparatus, be used for coefficient data, the multinomial pixel data of first data selection means selection and the multinomial correction data that second data selection means is selected that the usage factor data generating device generates, generate the pixel data of the target location in second picture signal according to estimate equation.

According to first information signal, select to be arranged in around the target location of second information signal multinomial information data and according to the correction data of above-mentioned generation, select and the corresponding multinomial correction data of selected multinomial information data.

Generate corresponding with affiliated second classification of the information data of target location in second information signal, be used in the coefficient data in the estimate equation.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

Utilization be arranged in multinomial information data around the target location of second information signal, with the corresponding multinomial correction data of multinomial information data and with the information data of target location under the corresponding coefficient data of second classification, generate the information data of the target location in second information signal according to estimate equation.

Like this, utilization is selected according to first information signal, be arranged in the target location multinomial information data on every side of second information signal, with the corresponding multinomial correction data of selecting according to the correction data of the first category under the target location in second information signal of multinomial information data and with second information signal in the information data of target location under the corresponding coefficient data of second classification, generate the information data of the target location in second information signal according to estimate equation, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location; The correction data choice device is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with the coefficient of frequency choice device of a plurality of coefficient of frequencies; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The coefficient of frequency generating apparatus, be used for coefficient data, a plurality of coefficient of frequencies of coefficient of frequency choice device selection and the multinomial correction data that the correction data choice device is selected that the usage factor data generating device generates, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Third step is used for according to the coefficient of frequency that obtains in second step, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location; The 4th step is used for the correction data that basis generates at first step, selects and the corresponding multinomial correction data of selecting in third step of a plurality of coefficient of frequencies; The 5th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 6th step, be used for utilizing in the coefficient data that the 5th step generates, a plurality of coefficient of frequencies of in third step, selecting and the multinomial correction data in the 4th step, selected, according to estimate equation generate with second information signal in the corresponding coefficient of frequency of information data of target location; With the 7th step, be used for the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding pixel data around the target location of second picture signal; The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second picture signal in corresponding a plurality of coefficient of frequencies on every side of target location; The correction data choice device is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with the coefficient of frequency choice device of a plurality of coefficient of frequencies; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; The coefficient of frequency generating apparatus, be used for coefficient data, a plurality of coefficient of frequencies of coefficient of frequency choice device selection and the multinomial correction data that the correction data choice device is selected that the usage factor data generating device generates, according to the corresponding coefficient of frequency of pixel data of the target location in the estimate equation generation and second picture signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the pixel data of the target location in second picture signal.

To in the middle of the multinomial information data that constitutes first information signal, with second information signal in the target location around the information corresponding data carry out orthogonal transform (discrete cosine transform, wavelet transform, discrete sine transform etc.).According to the coefficient of frequency that obtains by this orthogonal transform, select with second information signal in the corresponding a plurality of coefficient of frequencies in target location and according to the correction data that generates as mentioned above, select and the corresponding multinomial correction data of a plurality of coefficient of frequencies.

Utilize with second information signal in the target location around corresponding a plurality of coefficient of frequencies, with the corresponding multinomial correction data of a plurality of coefficient of frequencies and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding coefficient of frequency of information data of target location.The coefficient of frequency that generates is carried out orthogonal inverse transform, thereby obtain the information data of target location.

Like this, utilization is arranged in around the target location of second information signal, according to passing through in the middle of the multinomial information data that constitutes first information signal, carry out the multinomial information data that coefficient of frequency that orthogonal transform obtains is selected with the target location information corresponding data of output information signal, with the corresponding multinomial correction data of selecting according to the correction data of the first category under the target location in second information signal of multinomial information data and with second information signal in the information data of target location under the corresponding coefficient data of second classification, the corresponding coefficient of frequency of information data according to the target location in the estimate equation generation and second information signal, so that coefficient of frequency is carried out orthogonal inverse transform, obtaining the information data of the target location in second information signal, thereby reduce coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second information signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The correction data generating apparatus is used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal; With the information data generating apparatus, be used to utilize the correction data of correction data generating apparatus generation, to constituting in the middle of the multinomial information data of first information signal, carrying out treatment for correcting with the target location information corresponding data in second information signal, to generate the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used for the correction data that basis generates at first step, corresponding multinomial correction data around the target location in the selection and second information signal; Third step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 4th step is used for utilizing in coefficient data that third step generates and the multinomial correction data of selecting in second step, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal; With the 5th step, be used for utilizing the correction data that generates in the 4th step, to constituting in the middle of the multinomial information data of first information signal, carrying out treatment for correcting with the target location information corresponding data in second information signal, to generate the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second picture signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; The correction data generating apparatus is used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of pixel data of the target location in the estimate equation generation and second picture signal; With the pixel data generating apparatus, be used to utilize the correction data of correction data generating apparatus generation, to constituting in the middle of the multinomial pixel data of first picture signal, carrying out treatment for correcting with the corresponding pixel data in target location in second picture signal, to generate the pixel data of the target location in second picture signal.

Generate corresponding with affiliated second classification of the information data of target location in second information signal, be used in the coefficient data in the estimate equation.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.As mentioned above, according to the correction data that generates, corresponding multinomial correction data around the target location in the generation and second information signal.

Utilize with second information signal in the target location around corresponding multinomial correction data and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding correction data of information data of target location.

Utilize the correction data that generates as mentioned above, to in the middle of the multinomial information data that constitutes first picture signal, with second picture signal in corresponding second information data in target location carry out treatment for correcting, to generate the information data of the target location in second picture signal.

Like this, utilize with second information signal in the target location under first category correction data and with second picture signal in the target location under the corresponding coefficient data of second classification, the corresponding correction data of information data according to the target location in the estimate equation generation and second information signal, so that utilize the correction data that generates as mentioned above, proofread and correct in the middle of the multinomial information data that constitutes first picture signal, with the target location information corresponding data in second picture signal, generate the information data of the target location in second picture signal, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second information signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The correction data generating apparatus is used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal; The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting, the corresponding coefficient of frequency of information data of the target location in the generation and second information signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Third step is used for the correction data that basis generates at first step, corresponding multinomial correction data around the target location in the selection and second information signal; The 4th step is used for generating and is used in the such coefficient data of estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 5th step is used for the multinomial correction data utilizing the coefficient data that generates in the 4th step and select in third step, according to estimate equation generate with second information signal in the corresponding correction data of information data of target location; The 6th step is used for the correction data that generates in the 5th step by utilizing, and the coefficient of frequency that obtains in second step is carried out treatment for correcting, generate with second information signal in the corresponding coefficient of frequency of information data of target location; With the 7th step, be used for the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding pixel data around the target location of second picture signal; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second picture signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; The correction data generating apparatus is used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of pixel data of the target location in the estimate equation generation and second picture signal; The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting, the corresponding coefficient of frequency of pixel data of the target location in the generation and second picture signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the pixel data of the target location in second picture signal.

Utilize with second information signal in the target location around corresponding multinomial correction data and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding coefficient of frequency of information data of target location.

To in the middle of the multinomial information data that constitutes first information signal, with second information signal in the target location around corresponding pixel data carry out orthogonal transform (discrete cosine transform, wavelet transform, discrete sine transform etc.).The coefficient of frequency that obtains by this orthogonal transform is utilized the treatment for correcting of the correction data of generation as mentioned above, with the corresponding coefficient of frequency of information data of the target location in the generation and second information signal.Then, the coefficient of frequency that generates is carried out orthogonal inverse transform, thereby obtain the information data of target location.

Like this, utilize the first category under the target location in second information signal correction data and with second picture signal in the target location under the corresponding coefficient data of second classification, the corresponding correction data of information data according to the target location in the estimate equation generation and second information signal, so that utilize the correction data that generates as mentioned above, proofread and correct in the middle of the multinomial information data that constitutes first picture signal, with the target location information corresponding data in the output information signal, the corresponding coefficient of frequency of information data of the target location in the generation and second picture signal, and the coefficient of frequency of generation like this carried out orthogonal inverse transform, obtain the information data of the target location in second information signal, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Data selection means is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; Data generating device is used for the coefficient data of usage factor data generating device generation and the multinomial information data that data selection means is selected, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal; With the information data generating apparatus, be used for correction data by utilizing the correction data generating apparatus to generate, the data that the data generating apparatus generates are carried out treatment for correcting, generate the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal; Third step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 4th step is used for utilizing in coefficient data that third step generates and the multinomial information data of selecting in second step, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal; With the 5th step, be used for the correction data that generates at first step by utilizing, the data that generate in the 4th step are carried out treatment for correcting, generate the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Data selection means is used for according to first picture signal, selects to be arranged in the target location multinomial pixel data on every side of second picture signal; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; Data generating device is used for the coefficient data of usage factor data generating device generation and the multinomial pixel data that data selection means is selected, according to the corresponding data of pixel data of the target location in the estimate equation generation and second picture signal; With the pixel data generating apparatus, be used for correction data by utilizing the correction data generating apparatus to generate, the data that the data generating apparatus generates are carried out treatment for correcting, generate the pixel data of the target location in second picture signal.

According to first information signal, select to be arranged in the target location multinomial information data on every side of second picture signal.Utilization be arranged in around the target location of second information signal multinomial information data and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding data of information data of target location.These data are utilized the treatment for correcting of the correction data that generates as mentioned above, thereby obtain the information data of the target location in second picture signal.

Like this, utilization is selected according to first information signal, be arranged in around the target location of second information signal multinomial information data and with the target location of second picture signal under the corresponding coefficient data of second classification, the corresponding data of information data according to the target location in the estimate equation generation and second information signal, so that utilize the correction data of the affiliated first category of the target location in second information signal, correction data, generate the information data of the target location in second picture signal, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The equipment of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the equipment of the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; Data generating device is used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal; The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, the corresponding coefficient of frequency of information data of the target location in the generation and second information signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The method of the processing and information signal relevant with the present invention be will form by multinomial information data first information conversion of signals become the method for the processing and information signal of second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to generate the correction data of correction coding noise, the first category under the information data of the target location in correction data and second information signal is corresponding; Second step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal; Third step is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location; The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding; The 5th step is used for a plurality of coefficient of frequencies of utilizing the coefficient data that generates in the 4th step and selecting in third step, according to estimate equation generate with second information signal in the corresponding data of information data of target location; The 6th step is used for the correction data that generates at first step by utilizing, and the data that generate in the 5th step are carried out treatment for correcting, generate with second information signal in the corresponding coefficient of frequency of information data of target location; With the 7th step, be used for the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform, to obtain the information data of the target location in second information signal.

The equipment of the processing picture signal relevant with the present invention is the equipment that first picture signal that will be made up of multinomial pixel data converts the processing picture signal of second picture signal of being made up of multinomial pixel data to, first picture signal obtains by the decoding and coding data image signal, this equipment comprises: the correction data generating apparatus, be used to generate the correction data of correction coding noise, the first category under the pixel data of the target location in correction data and second picture signal is corresponding; Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding pixel data around the target location of second picture signal; The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second picture signal in corresponding a plurality of coefficient of frequencies on every side of target location; The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in coefficient data and second picture signal is corresponding; Data generating device is used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding data of pixel data of the target location in the estimate equation generation and second picture signal; The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, the corresponding coefficient of frequency of pixel data of the target location in the generation and second picture signal; With the orthogonal inverse transform device, be used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, to obtain the pixel data of the target location in second picture signal.

To in the middle of the multinomial information data that constitutes first information signal, with second information signal in the target location around corresponding pixel data carry out orthogonal transform (discrete cosine transform, wavelet transform, discrete sine transform etc.).According to the coefficient of frequency that obtains by this orthogonal transform, corresponding a plurality of coefficient of frequencies around the target location in the generation and second information signal.

Utilize with second information signal in the target location around corresponding a plurality of coefficient of frequencies and with the information data of target location under the corresponding coefficient data of second classification, according to estimate equation generate with second information signal in the corresponding data of information data of target location.Then, utilize the correction data that generates as mentioned above, the data that generate are carried out treatment for correcting, thus the corresponding coefficient of frequency of information data of the target location in the generation and second picture signal.Then, the coefficient of frequency that generates is carried out orthogonal inverse transform, thereby obtains the information data of target location,

Like this, utilization is arranged in around the target location of second information signal, according to passing through in the middle of the multinomial information data that constitutes first information signal, with the target location information corresponding data in the output information signal carry out a plurality of coefficient of frequencies that coefficient of frequency that orthogonal transform obtains selects and with the target location under the corresponding coefficient data of second classification, the corresponding data of information data according to the target location in the estimate equation generation and second information signal, so that utilizing the correction data of the first category under the target location in second information signal proofreaies and correct data, generate with second information signal in the target location the corresponding coefficient of frequency of information data and coefficient of frequency carried out orthogonal inverse transform, obtain the information data of the target location in second information signal, thereby reduce the coding noise in the information signal that the decoding and coding digital signal obtains widely.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate is to constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out treatment for correcting with the target location information corresponding data the teacher signal; Data selection means is used for the information data according to correction, selects to be arranged in the target location multinomial information data on every side of teacher signal; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial information data that data selection means is selected and the information data of the target location in the teacher signal, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Third step is used for utilizing the correction data that generates in second step, in the middle of the multinomial information data that is formed in the student signal that obtains in the first step, with teacher signal in target location information corresponding data carry out treatment for correcting; The 4th step is used for the information data that basis is proofreaied and correct at third step, selects to be arranged in the target location multinomial information data on every side of teacher signal; With the 5th step, be used for utilizing the information data of the target location in second classification, the multinomial information data of in the 4th step, selecting and the teacher signal under the information data of target location of teacher signal, generate the coefficient data of each classification.

The program relevant with the present invention makes computer carry out the method for above-mentioned generation coefficient data.The computer-readable media record said procedure relevant with the present invention.

In the present invention, generate the first information signal of forming by multinomial information data by decoding and coding message digit signal.The present invention relates to being used in the estimate equation generation coefficient data when first information conversion of signals become second information signal of being made up of multinomial information data.

, generate and the corresponding student signal of first information signal by the coded message digital signal that the corresponding teacher signal of the coding and second information signal generates by further decoding.The correction data of the corresponding correction coding noise of first category under the information data of the target location in generation and the teacher signal.For example, the correction data of each classification is stored in the storage device, so that from this storage device, read and the corresponding correction data of first category.This correction data utilizes student signal and teacher signal to generate in advance.

Utilize the correction data that generates as mentioned above in the middle of the multinomial information data that constitutes student signal, carry out treatment for correcting with the target location information corresponding data in the teacher signal.According to the information data of proofreading and correct, select to be arranged in the target location multinomial information data on every side of teacher signal.

Utilizing the information data of the target location in second classification, selected multinomial information data and the teacher signal under the information data of the target location in the teacher signal, is that each classification generates coefficient data.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

Although generate the coefficient data be used in the estimate equation when first information conversion of signals become second information signal by this way, but when first information conversion of signals is become second information signal, use selectively with second information signal in the information data of target location under the corresponding multinomial coefficient data of second classification, so that according to estimate equation, generate the information data of the target location in second information signal.

Therefore, utilizing estimate equation first information conversion of signals to be become under the situation of second information signal, reducing in the middle of the coding noise in the information signal that obtains by decoding and coding message digit signal widely, utilized correction data to carry out still remaining coding noise after the treatment for correcting.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; First orthogonal converter is used for constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out orthogonal transform with the target location information corresponding data of teacher signal, to obtain the first frequency coefficient; Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that first orthogonal converter is obtained carries out treatment for correcting; The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and the teacher signal the target location around corresponding a plurality of coefficient of frequencies; Second orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With the coefficient data generating apparatus, the second frequency coefficient that is used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected and second orthogonal converter to obtain generates the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Third step is used in the middle of the multinomial information data to the formation student signal that generates at first step, carries out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the first frequency coefficient; The 4th step is used for utilizing the correction data that generates in second step, and the coefficient of frequency that obtains in third step is carried out treatment for correcting; The 5th step is used for according to the coefficient of frequency of proofreading and correct in the 4th step, select each with teacher signal in corresponding a plurality of coefficient of frequencies on every side of target location; The 6th step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With the 7th step, be used for utilizing second classification, a plurality of coefficient of frequencies in the 5th step, selected under the information data of target location of teacher signal and the second frequency coefficient that in the 6th step, obtains, generate the coefficient data of each classification.

To in the middle of the multinomial information data that constitutes student signal, with teacher signal in the target location around the information corresponding data carry out orthogonal processing.The coefficient of frequency that obtains by orthogonal transform is utilized the treatment for correcting of the correction data that generates as mentioned above.According to the coefficient of frequency of proofreading and correct, select and corresponding a plurality of coefficient of frequencies around the target location that is arranged in teacher signal.

Utilizing second classification under the information data of the target location in the teacher signal, selected a plurality of coefficient of frequencies and the information data of the target location in the teacher signal is carried out the coefficient of frequency that orthogonal transform obtains, is that each classification generates coefficient data.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; First data selection means is used for according to the student signal from decoding device output, selects to be arranged in the target location multinomial information data on every side of teacher signal; Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial information data; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial information data that first data selection means is selected, multinomial correction data that second data selection means is selected and the information data of the target location in the teacher signal, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Third step is used for the student signal that basis obtains at first step, selects to be arranged in the target location multinomial information data on every side of teacher signal; The 4th step is used for the correction data that basis generates in second step, selects and the corresponding multinomial correction data of selecting in third step of multinomial information data; With the 5th step, be used for utilizing the information data of the target location in second classification, the multinomial information data of in third step, selecting, the multinomial correction data of in the 4th step, selecting and the teacher signal under the information data of target location of teacher signal, generate the coefficient data of each classification.

According to student signal, select to be arranged in around the target location of teacher signal multinomial information data and according to the correction data that generates as mentioned above, select and the corresponding multinomial correction data of selected multinomial information data.

Utilizing the information data of the target location in second classification, selected multinomial information data, selected multinomial correction data and the teacher signal under the information data of the target location in the teacher signal, is that each classification generates coefficient data.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; First orthogonal converter is used for constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out orthogonal transform with the target location information corresponding data of teacher signal, to obtain the first frequency coefficient; The coefficient of frequency choice device is used for the coefficient of frequency according to the acquisition of first orthogonal converter, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; The correction data choice device is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with the coefficient of frequency choice device of a plurality of coefficient of frequencies; Second orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With the coefficient data generating apparatus, the second frequency coefficient that is used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, multinomial correction data that the correction data choice device is selected and second orthogonal converter to obtain generates the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Third step is used in the middle of the multinomial information data to the formation student signal that obtains at first step, carries out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the first frequency coefficient; The 4th step is used for the coefficient of frequency that basis obtains at third step, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; The 5th step is used for the correction data that basis generates in second step, selects and the corresponding multinomial correction data of selecting in the 4th step of a plurality of coefficient of frequencies; The 6th step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With the 7th step, be used for utilizing second classification, a plurality of coefficient of frequencies of in the 4th step, selecting, multinomial correction data of in the 5th step, selecting under the information data of target location of teacher signal and the second frequency coefficient that in the 6th step, obtains, generate the coefficient data of each classification.

To in the middle of the multinomial information data that constitutes student signal, with teacher signal in the target location around the information corresponding data carry out orthogonal processing.According to the coefficient of frequency that obtains by orthogonal transform, select with teacher signal in the target location around corresponding a plurality of coefficient of frequencies and according to the correction data that generates as mentioned above, select and the corresponding multinomial correction data of selected a plurality of coefficient of frequencies.

Utilize second classification under the information data of the target location in the teacher signal, selected multinomial correction data and, be that each classification generates coefficient data by the information data of the target location in the teacher signal being carried out the coefficient of frequency that orthogonal transform obtains.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Substracting unit, be used to utilize in the middle of the multinomial information data that constitutes student signal, with target location information corresponding data, the information data of the target location in the teacher signal is subtracted each other processing; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in selection and the teacher signal; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial correction data that data selection means is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step, be used to utilize in the middle of the multinomial information data that constitutes student signal, with target location information corresponding data, the information data of the target location in the teacher signal is subtracted each other processing; Third step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; The 4th step is used for the correction data that basis generates at third step, corresponding multinomial correction data around the target location in selection and the teacher signal; With the 5th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 4th step, selecting and with teacher signal in the corresponding data that in second step, obtain of information data of target location, generate the coefficient data of each classification.

The information data of the target location in the teacher signal is utilized in the middle of the multinomial information data that constitutes student signal, with teacher signal in the target location the information corresponding data subtract each other processing.According to the correction data that generates as mentioned above, corresponding multinomial correction data around the target location in selection and the teacher signal.

Utilize second classification under the information data of the target location in the teacher signal, selected multinomial correction data and with teacher signal in the corresponding data of subtracting each other of information data of target location, be that each classification generates coefficient data.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; First orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; Second orthogonal converter, be used in the middle of the multinomial information data that constitutes student signal, carry out orthogonal transform with target location information corresponding data, to obtain the second frequency coefficient; Substracting unit, the second frequency coefficient that is used to utilize second orthogonal converter to obtain, the first frequency coefficient that first orthogonal converter is obtained subtracts each other processing; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in selection and the teacher signal; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial correction data that data selection means is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; Third step, be used in the middle of the multinomial information data that constitutes student signal, carry out orthogonal transform with target location information corresponding data, to obtain the second frequency coefficient; The 4th step is used for utilizing the second frequency coefficient that obtains at third step, and the first frequency coefficient that obtains in second step is subtracted each other processing; The 5th step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; The 6th step is used for the correction data that basis generates in the 5th step, corresponding multinomial correction data around the target location in selection and the teacher signal; With the 7th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 6th step, selecting and with teacher signal in the corresponding data that in the 4th step, obtain of information data of target location, generate the coefficient data of each classification.

To utilizing in the middle of the multinomial information data that constitutes student signal, carry out the processing of subtracting each other of coefficient of frequency that orthogonal transform obtains with the target location information corresponding data in the teacher signal by the information data of the target location in the teacher signal being carried out coefficient of frequency that orthogonal transform obtains.According to the correction data that generates as mentioned above, corresponding multinomial correction data around the target location in selection and the teacher signal.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Substracting unit, the correction data that is used to utilize the correction data generating apparatus to generate is subtracted each other processing to the information data of the target location in the teacher signal; Data selection means is used for according to the student signal from decoding device output, selects to be arranged in the target location multinomial information data on every side of teacher signal; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial correction data that data selection means is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Third step is used for utilizing the correction data that generates in second step, and the information data of the target location in the teacher signal is subtracted each other processing; The 4th step is used for the student signal that basis obtains at first step, selects to be arranged in the target location multinomial information data on every side of teacher signal; With the 5th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 4th step, selecting and with teacher signal in the corresponding data that in third step, obtain of information data of target location, generate the coefficient data of each classification.

The information data of the target location in the teacher signal utilized as mentioned above the processing of subtracting each other of the correction data that generates.According to student data, select to be arranged in the target location multinomial correction data on every side of teacher signal.

The unit of the generation coefficient data relevant with the present invention is the unit that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this unit comprises: decoding device, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; First orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; Substracting unit, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that first orthogonal converter is obtained subtracts each other processing; Second orthogonal converter is used for constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out orthogonal transform with the target location information corresponding data of teacher signal, to obtain the second frequency coefficient; The coefficient of frequency choice device is used for the coefficient of frequency according to the acquisition of second orthogonal converter, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; With the coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

The method of the generation coefficient data relevant with the present invention is the method that generates the coefficient data of estimate equation, this estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, first information signal obtains by decoding and coding message digit signal, this method comprises: first step, be used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal; Second step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient; Third step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in correction data and the teacher signal is corresponding; The 4th step is used for utilizing the correction data that obtains at third step, and the coefficient of frequency that obtains in second step is subtracted each other processing; The 5th step, be used in the middle of the multinomial information data that is formed in the student signal that first step obtains, carry out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the second frequency coefficient; The 6th step is used for the coefficient of frequency that basis obtains in the 5th step, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; With the 7th step, be used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies of in the 6th step, selecting and with teacher signal in the corresponding data that in the 4th step, obtain of information data of target location, generate the coefficient data of each classification.

To by the information data of the target location in the teacher signal being carried out the processing of subtracting each other that coefficient of frequency that orthogonal transform obtains utilizes the correction data that generates as mentioned above.To in the middle of the multinomial information data that constitutes student signal, with teacher signal in the target location around the information corresponding data carry out orthogonal transform.According to the coefficient of frequency that obtains by orthogonal transform, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal.

Utilize second classification under the information data of the target location in the teacher signal, selected a plurality of coefficient of frequencies and with teacher signal in the corresponding data of subtracting each other of information data of target location, be that each classification generates coefficient data.For example, second classification is identical with first category.Alternatively, relevant with second classification category classification is by making the meticulousr category classification that obtains of the category classification relevant with described first category.

Description of drawings

Fig. 1 is the calcspar that illustrates according to the configuration of the digit broadcasting receiver of first embodiment;

Fig. 2 is the calcspar that the configuration of MPEG2 decoder is shown;

Fig. 3 is the calcspar that the configuration of category classification part is shown;

Fig. 4 is the figure that the piece of selecting tap is shown;

Fig. 5 is the key diagram of the operation of addition section;

Fig. 6 is the calcspar that the configuration of the unit that generates difference data is shown;

Fig. 7 is the key diagram of the operation of subtraction part;

Fig. 8 is the calcspar of configuration example that the equipment of the processing picture signal that realizes with software is shown;

Fig. 9 illustrates the flow chart that picture signal is handled;

Figure 10 illustrates difference data to generate the flow chart of handling;

Figure 11 is another key diagram that the operation of addition section is shown;

Figure 12 is another key diagram that the operation of subtraction part is shown;

Figure 13 is another key diagram that the operation of addition section is shown;

Figure 14 is another key diagram that the operation of subtraction part is shown;

Figure 15 is the other key diagram that the operation of addition section is shown;

Figure 16 is the calcspar that illustrates according to the configuration of the digit broadcasting receiver of second embodiment;

Figure 17 is the calcspar that the configuration of category classification part is shown;

Figure 18 is the calcspar that the configuration of the unit that generates coefficient data is shown;

Figure 19 illustrates the flow chart that picture signal is handled;

Figure 20 illustrates coefficient data to generate the flow chart of handling;

Figure 21 is the calcspar that illustrates according to the configuration of the digit broadcasting receiver of the 3rd embodiment;

Figure 22 is the calcspar that the configuration of another unit that generates coefficient data is shown;

Figure 23 illustrates the flow chart that picture signal is handled;

Figure 24 illustrates coefficient data to generate the flow chart of handling;

Figure 25 is the calcspar that illustrates according to the configuration of the digit broadcasting receiver of the 4th embodiment;

Figure 26 is the calcspar that the configuration of another unit that generates coefficient data is shown;

Figure 27 illustrates the flow chart that picture signal is handled;

Figure 28 illustrates coefficient data to generate the flow chart of handling;

Figure 29 is the calcspar that illustrates according to the configuration of the digit broadcasting receiver of the 5th embodiment;

Figure 30 is the calcspar that the configuration of another unit that generates coefficient data is shown;

Figure 31 illustrates the flow chart that picture signal is handled; With

Figure 32 illustrates coefficient data to generate the flow chart of handling.

Implement best mode of the present invention

The first embodiment of the present invention is described with reference to the accompanying drawings.Fig. 1 shows the configuration according to the digit broadcasting receiver 100 of first embodiment.

This digit broadcasting receiver 100 contains microcomputer, and comprises the operated system controller 101 of controlling whole system and the remote signal receiving circuit 102 that receives remote signal.Remote signal receiving circuit 102 is connected with system controller 101, and is arranged to respond the user and operates reception from the remote signal RM of remote-controlled transmitter 200 outputs with will be supplied to system controller 101 with the corresponding operation signal of that signal RM.

Digit broadcasting receiver 100 also contains reception antenna 105 and broadcast singal (RF-modulation signal) that this reception antenna 105 is caught is supplied to its tuner pack 106, select processing, demodulation process, treatment for correcting etc. so that carry out channel, thereby obtain MPEG2 stream as the coding image signal relevant with scheduled program.

In addition, digit broadcasting receiver 100 contains MPEG2 stream the MPEG2 decoder 107 and interim storage picture signal Va from this MPEG2 decoder 107 outputs to obtain picture signal Va of decoding from tuner pack 106 outputs.

Fig. 2 shows the configuration of MPEG2 decoder 107.

These MPEG 2 decoders 107 contain the input 181 and the interim stream damper of storing by the MPEG2 stream of this input 181 inputs 182 of input MPEG2 stream.

This decoder 107 also contain extract in the MPEG2 stream from be stored in stream damper 182 discrete cosine transform (DCT) coefficient as the DCT coefficient of coefficient of frequency extract circuit 183 and to this DCT coefficient extract variable length code that circuit 183 extracts for example the DCT coefficient of Huffman (Huffman) coding carry out the length-changeable decoding circuit 184 of length-changeable decoding.

In addition, this decoder 107 contains MPEG2 stream from be stored in stream damper 182 and extracts the quantized character descriptive information that quantizes characteristic information and extract circuit 185, extract the inverse DCT circuit 187 that quantized character information that circuit 185 extracts is carried out the inverse quantization circuit 186 of re-quantization to the quantization DCT coefficient from 184 outputs of length-changeable decoding circuit and the DCT coefficient from inverse quantization circuit 186 outputs carried out inverse DCT according to this quantized character descriptive information.

In addition, decoder 107 contains prediction memory circuit 188, be used for the picture signal of inner picture (I-picture) and predictive picture (P-picture) is stored in the memory (not shown), and utilize these picture signals, generate and output when when inverse DCT circuit 187 is exported the picture signal of P-pictures or bi-directional predicted picture (B-picture), with the corresponding reference image signal Vref of the picture signal of P-picture or B-picture.

In addition, decoder 107 contains add circuit 189, is used for when from the picture signal of inverse DCT circuit 187 output P-pictures or B-picture, the reference image signal Vref and this picture signal addition that will prediction memory circuit 188 generate.Should be noted that, when from the picture signal of inverse DCT circuit 187 output I-pictures, will not be supplied to add circuit 189 from the reference image signal Vref of prediction memory circuit 188, therefore, along with the picture signal of inverse DCT circuit 187 output I-pictures, add circuit 189 is also exported the picture signal of I-picture.

In addition, decoder 107 contains picture and selecting circuit 190, be used for and be supplied to prediction memory circuit 188 from the I-picture of add circuit 189 outputs and the picture signal of P-picture, so that they can be stored in the memory, with suitable order rearrange from the picture signal of the picture of this add circuit 189 output and output they; With output 191, be used to export the picture signal of having exported from this picture and selecting circuit 190.

In addition, decoder 107 contains in the MPEG2 stream from be stored in stream damper 182 and extracts the coding control information, that is, and and the extraction circuit 192 of image information PI and motion compensation vector information MI.This motion compensation vector information MI that extracts circuit 192 extractions is supplied to prediction memory circuit 188, and prediction memory circuit 188 uses this motion compensation vector information MI, so that when generating reference image signal Vref, can carry out motion compensation.On the other hand, the image information PI that extracts circuit 192 generations is supplied to prediction memory circuit 188 and picture and selecting circuit 190, so that these prediction memory circuits 188 and picture and selecting circuit 190 can be according to this image information PI identification pictures.

The operation of MPEG2 decoder 107 as shown in Figure 2 is described below.

Be supplied to the DCT coefficient to extract circuit 183 the MPEG2 stream that is stored in the stream damper 182, the DCT coefficient extracts circuit 183 and extracts the DCT coefficient as coefficient of frequency.This is supplied to length-changeable decoding circuit 184 through the DCT coefficient of variable length code, so that decoded.To be supplied to inverse quantization circuit 186 from the quantization DCT coefficient of these length-changeable decoding circuit 184 outputs, and make it in inverse quantization circuit 186, stand re-quantization.

Allow and inverse DCT circuit 183, stand inverse DCT, so that can obtain the picture signal of each picture from the DCT coefficient of inverse quantization circuit 186 outputs.By add circuit 189 picture signal of each picture is supplied to picture and selecting circuit 190.In this case, add circuit 189 will add each picture signal of P-picture and B-picture from the reference image signal Vref of prediction memory circuit 188 outputs.Picture and selecting circuit 190 rearranges the picture signal of picture with suitable order, and it is outputed to output 191.

In addition, as shown in Figure 1, digit broadcasting receiver 100 comprises: image signal processing section 110, and the picture signal Va that is used for being stored in buffer storage 108 converts the picture signal Vb that coding noise (coding distortion) such as block noise (piece distortion) and mosquito noise has reduced to; With display part 111, be used to show the image that derives from from the picture signal of this image signal processing section 110 outputs.Display part 111 is made of the display device such as cathode ray tube (CRT) or LCD (LCD).

The operation of digit broadcasting receiver 100 as shown in Figure 1 is described below.

To be supplied to MPEG2 decoder 107 from the MPEG2 stream of tuner 106 outputs, so that decoded.To be supplied to buffer storage 108 from the picture signal Va of these decoder 107 outputs, so that be stored in wherein temporarily.

Like this, the picture signal Va that is stored in the buffer storage 108 is supplied to image signal processing section 110, in image signal processing section 110, it is converted to the picture signal Vb that coding noise (coding distortion) has reduced.This image signal processing section 110 provides the pixel data from composing images signal Va, the pixel data of composing images signal Vb.

To be supplied to display part 111 from the picture signal Vb of image signal processing section 110 outputs, the image that display part 111 will come from picture signal Vb is presented on its screen.

The details of image signal processing section 110 is described below.

Image signal processing section 110 contains accumulation schedule 131.This accumulation schedule 131 is the difference data DF of each classification of storage in advance, as the correction data of correction coding noise (coding distortion).The difference data of difference data that this difference data DF is a pixel data or the DCT coefficient (coefficient of frequency) that handle to obtain by DCT.

To be supplied to accumulation schedule 131 from the classification sign indicating number CL that category classification part 130 is as described later exported, as reading address information.From this accumulation schedule 131, read corresponding difference data DF, and it is supplied to as described later addition section 134 with classification sign indicating number CL.

The difference data DF that is stored in this accumulation schedule 131 utilizes with the corresponding student signal of picture signal Va with the corresponding teacher signal of picture signal Vb to generate in advance.For example, student signal is to obtain by the MPEG2 stream that MPEG2 coding teacher signal obtains by decoding.

In addition, image signal processing section 110 contains and carries out DCT and handle with the DCT circuit 132 that obtains the DCT coefficient and will be supplied to a-side stiff end from the DCT coefficient of DCT circuit 132 outputs and will be supplied to the change over switch 133 of b-side stiff end from the picture signal Va of buffering memory 108 outputs being stored in picture signal Va in the buffer storage 108.This change over switch 133 is configured to: if the difference data DF that is stored in the accumulation schedule 131 is the difference data of pixel data, then can be connected with its b-side, if and difference data DF is a difference data of handling the DCT coefficient that obtains by DCT, then can be connected with its a-side.

In addition, image signal processing section 110 contains the addition section 134 as means for correcting, that the difference data DF that is used for reading from accumulation schedule 131 adds is corresponding with the target location the picture signal Vb, from the data (pixel data or DCT coefficient) of the movable end output of change over switch 133, thereby the data y of the target location among the generation picture signal Vb.

Should be noted that multinomial data x and y are and the corresponding data block of DCT piece that is used as a unit in DCT handles.In the present embodiment, the item number of the data of composition data y (pixel data or DCT coefficient) equals the item number of the data (pixel data or DCT coefficient) of composition data x.

In this case, the item number of the pixel data of composing images signal Vb equals the item number of the pixel data of composing images signal Va.For example, if data x by 8 * 8 item numbers according to forming, so, in addition section 134, generate 8 * 8 item number certificates, as data y.And, in this case, the difference data DF that is supplied to addition section 134 from accumulation schedule 131 also by 8 * 8 item numbers according to forming.

In addition, image signal processing section contains the output signal of addition section 134 is carried out inverse DCT circuit 135 that inverse DCT handles and the output signal of inverse DCT circuit 135 is supplied to a-side stiff end and the output signal of add circuit 134 is supplied to the change over switch 136 of b-side stiff end.This change over switch 136 is configured to: if the difference data DF that is stored in the accumulation schedule 131 is the difference data of pixel data, then can be connected with its b-side, if and difference data DF is a difference data of handling the DCT coefficient that obtains by DCT, then can be connected with its a-side.To give display part 111 from the signal provision that the movable end of this change over switch 136 is exported, as picture signal Vb.

In addition, image signal processing section contains the category classification part 1 30 as the category classification device, is used for the affiliated classification of pixel data y of the target location of detected image signal Vb.This category classification part 130 is used and is constituted the target location multinomial pixel data on every side that the multinomial pixel data that is stored in the picture signal Va in the buffer storage 108 is central, be arranged in picture signal Vb, with the classification sign indicating number CL of the classification under the pixel data y that generates the target location among the indicating image signal Vb.

Fig. 3 shows the configuration of category classification part 130.

This category classification part 130 contains input 130A and the tap selection circuit 130B of received image signal Va ₁-130B _n, being used for taking out selectively respectively the multinomial pixel data of class tap, the classification tap is used for n type classification under the pixel data y of target location of detected image signal Vb.

In addition, category classification part 130 contains classification generative circuit 130C ₁-130C _n, be used to utilize tap to select circuit 130B ₁-130B _nThe pixel data that takes out, the classification sign indicating number CL of n type classification is indicated in generation respectively ₁-CL _nClassification merges circuit 130D, is used for these classification generative circuits 130C ₁-130C _nThe classification sign indicating number CL that generates ₁-CL _nBe merged into a classification sign indicating number CL; Output 130E with this classification sign indicating number of output CL.

In the present embodiment, generate the classification sign indicating number CL of the classification of 6 types of indications ₁-CL ₆, therefore, with these classification sign indicating numbers CL ₁-CL ₆Be merged into a classification sign indicating number CL and export it.These 6 classifications are to change spatial waveforms classification, time classification, AC variation classification, smooth classification, line correlation classification and block edge classification.Below concise and to the point these classifications of describing.

(1) the spatial waveforms classification is described below.Suppose tap selection circuit 130B ₁With classification generative circuit 130C ₁Constitute the system that detects this spatial waveforms classification.

Circuit 130B is selected in tap ₁The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb.Classification generative circuit 130C ₁8 * 8 pixel datas of object block are divided into 4 zones, obtain the pixel average of each subregion, 2 * 2 upper strata pixel datas are provided, and, each of these 2 * 2 upper strata pixel datas is carried out for example 1-position adaptive dynamic range coding (ADRC), thereby generate the 4-position classification sign indicating number CL of indication spatial waveforms classification ₁

ADRC is used for obtaining the maximum and the minimum of the multinomial pixel data of classification tap, with the dynamic range of the difference that obtains maximum and minimum, thereby to be fit to each pixel value of mode re-quantization of dynamic range.In the situation of 1-position ADRC, according to be greater than or less than the mean value of a plurality of pixel values of classification tap, convert each pixel value to a position.The purpose that ADRC handles is the classification number of represent pixel value level distribution is lowered into a relatively little number.Therefore, except ADRC, can use any other method such as vector quantization (VQ), packed pixel value figure place.

(2) time variation classification is described below.Suppose tap selection circuit 130B ₂With classification generative circuit 130C ₂Constitute the system that this time changes classification that detects.

Circuit 130B is selected in tap ₂The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb, and, from the former frame of picture signal Va, take out pixel data with corresponding of object block (as shown in Figure 4 last).

Classification generative circuit 130C ₂Carry out subtracting each other between 8 * 8 pixel datas of 8 * 8 pixel datas of object block and last to obtain 8 * 8 differences for each respective pixel, obtain the quadratic sum of these 8 * 8 differences, and this quadratic sum is carried out threshold value adjudicate, thereby generate the 2-position classification sign indicating number CL that changes classification instruction time ₂

(3) AC is described below and changes classification.Suppose tap selection circuit 130B ₃With classification generative circuit 130C ₃Constitute the system that this AC changes classification that detects.

Circuit 130B is selected in tap ₃The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb, and, from the former frame of picture signal Va, take out pixel data with corresponding of object block (as shown in Figure 4 last).

Classification generative circuit 130C ₃Each of 8 * 8 pixel datas of 8 * 8 pixel datas of object block and last is carried out DCT to be handled to obtain DCT coefficient (coefficient of frequency).Classification generative circuit 130C ₃Obtain each home position, all have the number m of the home position of coefficient in each side for the AC part ₁, and in the middle of these positions, code oppositely or one of coefficient value be the number m of 0 home position ₂, to m ₁/ m ₂Carry out the threshold value judgement, thereby generate the 2-position classification sign indicating number CL that indication AC changes classification ₃For the less piece of time variation amount, this AC changes classification and can be used for carrying out category classification according to mosquito formula distortion (mosquito distortion).

(4) smooth classification is described below.Suppose tap selection circuit 130B ₄With classification generative circuit 130C ₄Constitute the system that detects this smooth classification.

Circuit 130B is selected in tap ₄The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb.Classification generative circuit 130C ₄Detect the maximum and the minimum of 8 * 8 pixel datas of object block, and the dynamic range as the difference of these values is carried out the threshold value judgement, thereby generate the 1-position classification sign indicating number CL that indicates smooth classification ₄

(5) the line correlation classification is described below.Suppose tap selection circuit 130B ₅With classification generative circuit 130C ₅Constitute the system that detects this line correlation classification.

Circuit 130B is selected in tap ₅The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb.

Classification generative circuit 130C ₄For each respective pixel carry out in the object block 8 * 8 pixel datas the 1st the row and the 2nd the row, the 3rd the row and the 4th the row, the 5th the row and the 6th the row and the 7th the row and eighth row between subtract each other to obtain 8 * 4 differences, obtain the quadratic sum of these 8 * 4 differences, and this quadratic sum is carried out threshold value adjudicate, thereby generate the 1-position classification sign indicating number CL that indicates the line correlation classification ₅This line correlation classification indication is the situation as rest image, the in-frame correlation height, and still as the situation of rapid movement image, correlation is higher than in-frame correlation in the field.

(6) the block edge classification is described below.Suppose tap selection circuit 130B ₆With classification generative circuit 130C ₆Constitute the system that detects this block edge classification.

Circuit 130B is selected in tap ₆The pixel data of the pixel data y corresponding (object block as shown in Figure 4) of the target location from the present frame of picture signal Va among taking-up and the picture signal Vb, and, from this present frame, take out pixel data at vertical direction and adjacent with object block in the horizontal direction piece (adjacent block as shown in Figure 4).

Classification generative circuit 130C ₆Carry out subtracting each other between the pixel data of 8 pixel datas of 4 sides of object block and adjacent with it adjacent block to obtain 4 * 8 differences for each respective pixel, obtain each quadratic sum of these 8 differences, and adjudicating carrying out threshold value respectively, thereby the 4-position classification sign indicating number CL of generation indicator collet edge classification with corresponding 4 quadratic sums in 4 sides of object block ₆

In the present embodiment, classification merges circuit 130D with classification generative circuit 130C ₁-130C ₆The classification sign indicating number CL that generates ₁-CL ₆Be merged into a classification sign indicating number CL.

In this case, if merge classification sign indicating number CL simply ₁-CL ₆, then classification sign indicating number CL represents 16 classifications (spatial waveforms classification) * 4 classifications (time changes classification) * 4 classifications (AC changes classification) * 2 classifications (smooth classification) * 2 classifications (line correlation classification) * 16 classifications (block edge classification)=16384 classifications.

But, in the present embodiment, with the form of tree structure AC is changed classification and time and changes classification and combine.That is to say that quantitatively very little if the time changes, relevant portion probably is a stationary part.Therefore, carry out such time variation classification, quantitatively very little if the time of making changes, then carry out the AC variation and classify with the form of tree structure.So, will change the time classification and AC change the classification number of classification after merging be 7 (=4+4-1).

In addition, in the present embodiment, line correlation classification and smooth classification are combined with the form of tree structure.That is to say, carry out so smooth classification,, then carry out the line correlation classification with the form of tree structure if make that classification is not smooth; So, the classification number after smooth classification and line correlation classification merged be 3 (=2+2-1).

By utilizing tree structure so to merge classification, classification sign indicating number CL represents 16 classifications (spatial waveforms classification) * 7 classifications (time changes classification and AC changes classification) * 16 classifications (block edge classification) * 3 classifications (smooth classification and line correlation classification)=5376 classifications, thereby classification digital display work is reduced.

The operation of this image signal processing section 110 is described below.

At first, describing the difference data DF that is stored in the accumulation schedule 131 is the situation of the difference data of pixel data.In this case, change over switch 133 with 136 each all be connected with their b-side.

Category classification part 130 utilization is arranged in around the target location of picture signal Vb, the multinomial pixel data of picture signal Va, generates the classification sign indicating number CL of the classification under the pixel data y of the target location among the indicating image signal Vb.

CL is supplied to accumulation schedule 131 with this classification sign indicating number, as reading address information.According to this classification sign indicating number CL, from accumulation schedule 131, read with picture signal Vb in the corresponding difference data DF in target location, and it is supplied to addition section 134.

In addition, by the b-side of change over switch 133, with in the middle of the picture signal Va that is stored in the buffer storage 108, with picture signal Vb in the corresponding pixel data x in target location be supplied to addition section 134.The difference data DF that addition section 134 will be read from accumulation schedule adds among this pixel data x, generates the pixel data y of the target location among the picture signal Vb.

Should be noted that, pixel data x and y each all by for example 8 * 8 data blocks that pixel data is formed.And, be supplied to the difference data DF of addition section 134 also to form by for example 8 * 8 pixel datas from accumulation schedule 131.Every difference data that addition section 134 will constitute difference data DF adds in every the pixel data that constitutes pixel data x, to obtain to constitute every pixel data of pixel data y.

Fig. 5 shows the schematic phase add operation in the addition section, and for simplicity, the tentation data piece is made up of 2 * 2 pixel datas.4 difference data a-d that constitute difference data DF are added respectively among 4 pixel data A-D that constitute pixel data x, so that obtain 4 pixel data A '-D ' that constitute pixel data y.That is to say A '=A+a, B '=B+b, C '=C+c and D '=D+d.

Export the pixel data y that addition section 134 generates by the b-side of change over switch 136, as the output signal of image signal processing section 110.That is to say this pixel data y composing images signal Vb.

Then, describing the difference data DF that is stored in the accumulation schedule 131 is the situation of handling the difference data of the DCT coefficient that obtains by DCT.In this case, change over switch 133 with 136 each all be connected with their a-side.

Category classification part 130 is utilized the target location multinomial pixel data on every side that the picture signal Va that is stored in the buffer storage 108 is central, be arranged in picture signal Vb, the classification sign indicating number CL of the classification under the pixel data y of the target location among the generation indicating image signal Vb.

In addition, by the a-side of change over switch 133, will obtain by DCT circuit 132, corresponding with the pixel data y of target location among the picture signal Vb and carry out the DCT coefficient x that DCT handles acquisition by multinomial pixel data and be supplied to addition section 134 picture signal Va.Addition section 134 adds difference data DF among this DCT coefficient x, the corresponding DCT coefficient of the pixel data y of the target location among generation and the picture signal Vb.

Should be noted that, DCT coefficient x and y each all by for example 8 * 8 data blocks that coefficient is formed.And, be supplied to the difference data DF of addition section 134 also to form by for example 8 * 8 pixel datas from accumulation schedule 131.Each difference data that addition section 134 will constitute difference data DF adds in each the DCT coefficient that constitutes DCT coefficient x, to obtain to constitute each DCT coefficient (referring to Fig. 5) of DCT coefficient y.

The DCT coefficient y that addition section 134 is generated is supplied to inverse DCT circuit 135.135 pairs of DCT coefficients of this inverse DCT circuit y carries out inverse DCT to be handled, to obtain pixel data.By the change over switch 136 outputs pixel data from 135 outputs of inverse DCT circuit like this, as the output signal of image signal processing section 110.

Like this, when proofreading and correct data (pixel data or the DCT coefficient) x relevant with acquisition data (pixel data or the DCT coefficient) y relevant with picture signal Vb with picture signal Va, image signal processing section 110 is according to the classification under the picture signal Va detection data y, and will add among the data x with the corresponding difference data DF of the classification of this detection, so that obtain to be corrected into the data y that coding noise is reduced, thereby can obtain picture signal Vb that coding noise is reduced greatly.

Fig. 6 shows the configuration of the unit 210 of the difference data DF in the accumulation schedule 131 in the image signal processing section 110 that generation will be stored in Fig. 1.

This unit 210 that generates difference data contain the input 151 of input and the corresponding teacher signal ST of picture signal Vb, this teacher signal ST that encodes with the mpeg 2 encoder 152 that obtains MPEG2 stream and this MPEG2 stream of decoding to obtain the MPEG2 decoder 153 with the corresponding student signal SS of picture signal Va.

In addition, the unit 210 that generates difference data contains the student signal SS from 153 outputs of MPEG2 decoder is carried out the DCT circuit 171 that DCT handles and will be supplied to a-side stiff end from the DCT coefficient of these DCT circuit 171 outputs and will be supplied to the change over switch 172 of b-side stiff end from the student signal SS of MPEG2 decoder 153 outputs.This change over switch 172 is configured to: if the difference data DF that is stored in as described later the accumulation schedule 177 is the difference data of pixel data, then can be connected with its b-side, if and difference data DF is a difference data of handling the DCT coefficient that obtains by DCT, then can be connected with its a-side.

In addition, the unit 210 that generates difference data contains the teacher signal ST that adjusted the time through delay circuit 159 is carried out the DCT circuit 173 that DCT handles and will be supplied to a-side stiff end from the coefficient of frequency of these DCT circuit 173 outputs and will be supplied to the change over switch 174 of b-side stiff end through the teacher signal ST that delay circuit 159 was adjusted the time.This change over switch 174 is configured to: if the difference data DF that is stored in as described later the accumulation schedule 177 is the difference data of pixel data, then can be connected with its b-side, if and difference data DF is a difference data of handling the DCT coefficient that obtains by DCT, then can be connected with its a-side.

In addition, the unit 210 that generates difference data contains subtraction part 175, be used for data (pixel data or DCT coefficient) y from the target location of teacher signal ST deduct corresponding with the target location this teacher signal ST, from data (pixel data or the DCT coefficient) x of the movable end output of change over switch 173, thereby obtain difference data df.

Should be noted that multinomial data x and y each be and the corresponding data block of DCT piece that is used as a unit in DCT handles.In the present embodiment, the item number of the data of composition data y (pixel data or DCT coefficient) equals the item number of the data (pixel data or DCT coefficient) of composition data x.

In this case, the item number that constitutes the pixel data of teacher signal ST equals to constitute the item number of the pixel data of student signal SS.For example, if data x and y each all form by 8 * 8 pixel datas, so, in subtraction part 175, generate 8 * 8 difference datas, as difference data df.

Fig. 7 shows the schematic phase reducing in the subtraction part 175, and for simplicity, the tentation data piece is made up of 2 * 2 pixel datas.From 4 item numbers of composition data y according to 4 item numbers that deduct composition data x A '-D ' respectively according to A-D, so that obtain 4 difference data a-d of composition data x.That is to say a=A '-A, b=B '-B, c=C '-C, and d=D '-D.

In addition, the unit 210 that generates difference data contains accumulation control section 176, be used for based on the classification sign indicating number CL that produces by category classification part 178 (following will being described), average at each classification and from the difference data df of subtraction part 175 order outputs, and be used for its result is stored in accumulation schedule 177, as difference data DF.

In addition, the unit 210 that generates difference data contains the category classification part 178 as the category classification device, is used for detecting the classification under the pixel data of target location of teacher signal ST.Although omitted detailed description here to it, but this category classification part 178 is to arrange in the mode identical with category classification part 130 in as shown in Figure 1 the image signal processing section 110, because its utilize to constitute in the middle of the multinomial pixel data of the student signal SS of MPEG2 decoder 153 outputs, be arranged in the multinomial pixel data around the target location of teacher signal ST, generate the classification sign indicating number CL of the classification under the pixel data of the target location among the indication teacher signal ST.

The operation of the unit 210 of generation difference data as shown in Figure 6 is described below.

At first, describing the difference data DF that is stored in the accumulation schedule 177 is the situation of the difference data of pixel data.In this case, change over switch 172 with 174 each all be connected with their b-side.

To be supplied to input 151 with the corresponding teacher signal ST of picture signal Vb, and in the mpeg 2 encoder 152 that generates MPEG2 stream, encode it.This MPEG2 stream is supplied to MPEG2 decoder 153.MPEG2 decoder 153 decoding MPEG2 streams generate and the corresponding student signal SS of picture signal Va.This student signal SS has passed through the MPEG2 Code And Decode, therefore, comprises coding noise (coding distortion).

By the b-side of change over switch 174, will be supplied to subtraction part 175 through the pixel data y that delay circuit 159 was adjusted the target location in the middle of the teacher signal ST of time.By the b-side of change over switch 172, will be in the middle of the student signal SS of MPEG2 decoder 153 output, be supplied to this subtraction part 175 with the corresponding pixel data x in target location the teacher signal ST.Then, subtraction part 175 deducts pixel data x from pixel data y, generates difference data df.Difference data df corresponding with each target location in the teacher signal and that export from this subtraction part 175 successively is supplied to accumulation control section 176.

Here note that pixel data x and y each all by for example 8 * 8 data blocks that pixel data is formed.Subtraction part 175 deducts every the pixel data that constitutes pixel data x from every the pixel data that constitutes pixel data y, obtain to constitute every difference data of difference data df.

Category classification part 178 utilization constitutes in the middle of the multinomial pixel data of the student signal SS of MPEG2 decoder 153 outputs, be arranged in the multinomial pixel data around the target location of teacher signal ST, generates the classification sign indicating number CL of the classification under the pixel data of the target location among this teacher signal of indication ST.

This classification sign indicating number CL is supplied to accumulation control section 176.Accumulation control section 176 is respectively each classification and asks successively from the mean value of the multinomial difference data df of subtraction part 175 outputs according to classification sign indicating number CL, and its result is stored in the accumulation schedule 177, as multinomial difference data DF.

Then, describing the difference data DF that is stored in the accumulation schedule 177 is the situation of the difference data of DCT coefficient.In this case, change over switch 172 with 174 each all be connected with their a-side.

By the a-side of change over switch 174, will adjust in the middle of the teacher signal ST of time through delay circuit 159, on DCT circuit 173, its pixel data of target location be carried out DCT and handle the DCT coefficient y that obtains and be supplied to subtraction part 175.And, by the a-side of change over switch 172, will be in the middle of the student signal SS of MPEG2 decoder 153 output, on DCT circuit 173 handle the DCT coefficient x that obtains and be supplied to this subtraction part 175 carrying out DCT with the corresponding pixel data in the target location of teacher signal ST.Then, subtraction part 175 deducts DCT coefficient x from DCT coefficient y, generates difference data df.Difference data df corresponding with each target location among the teacher signal ST and that export from this subtraction part 175 successively is supplied to accumulation control section 176.

Here note that DCT coefficient x and y each all by for example 8 * 8 data blocks that the DCT coefficient is formed.Subtraction part 175 deducts every the DCT coefficient that constitutes DCT coefficient x from every the DCT coefficient that constitutes DCT coefficient y, obtain to constitute every difference data of difference data df.

Therefore, in the unit 210 of as shown in Figure 6 generation difference data, can generate the particular category difference data DF in the accumulation schedule 131 in the image signal processing section 110 that will be stored in Fig. 1.

Should be noted that the processing in the image signal processing section 110 of Fig. 1 also can realize with software by for example as shown in Figure 8 the equipment 300 of processing picture signal.

The equipment 300 of processing picture signal as shown in Figure 8 at first, is described.The random access storage device (RAM) 303 that this equipment 300 of handling picture signal contains the read-only memory (ROM) 302 of the CPU 301 of the operation of overall control appliance, the control program of storing this CPU 301, difference data etc. and working space is provided for CPU 301.These CPU 301, ROM 302 and RAM 303 are connected each with bus 304.

In addition, the equipment 300 of processing picture signal contains the hard disk drive (HDD) 305 and the driver (FDD) 307 that drives floppy disk (registered trade mark) 306 as external memory storage.These drivers 305 with 307 each all be connected with bus 304.

In addition, the equipment 300 of handling picture signal contains the communications portion 308 that is connected with communication network 400 such as the internet in wired or wireless mode.This communications portion 308 is connected with bus 304 by interface 309.

In addition, the equipment 300 of processing picture signal contains the user interface part.This user interface partly contains from remote-controlled transmitter 200 and receives the remote signal receiving circuit 310 of remote signal RM and waited the display 311 of formation by LCD (LCD).Remote signal receiving circuit 310 is connected with bus 304 by interface 312, and similarly, display 311 is connected with bus 304 by interface 313.

In addition, the equipment 300 of handling picture signal contains the input 314 that makes picture signal Va input and the output 315 of output image signal Vb.Input 314 is connected with bus 304 by interface 316, and similarly, output 315 is connected with bus 304 by interface 317.

Should be noted that, except being stored in control program, difference data etc. among the ROM 302 in advance as mentioned above, also can by communications portion 308 from picture for example 400 downloads of the communication network the internet they, they are accumulated among hard disk or the RAM 303, use them then.And, can provide these control programs, difference data etc. by floppy disk (registered trade mark) 306.

In addition, except by the input 314 inputs picture signal Va to be processed, can in advance it be recorded on the hard disk, or download it from the communication network such as the internet 400 by communications portion 308.And, except through after handling picture signal Vb being outputed to output 315 or in processing, picture signal Vb being outputed to the output 315, it can be supplied to display 311, so that show it, or further be stored on the hard disk or send to communication network 400 such as the internet by communications portion 308.

Below with reference to the flow chart of Fig. 9, be described in the equipment 300 of processing picture signal as shown in Figure 8, from picture signal Va, obtain the processing procedure of picture signal Vb.

At first, in step ST11, this process begins to handle, and, in step ST12, make frame of picture signal Va or field from input 314 input equipments for example.Like this, the pixel data of formation from the picture signal Va of input 314 inputs is stored in the RAM 303 temporarily.Should be noted that,, from this driver 305, read this picture signal Va, be stored among the RAM 303 temporarily so that will constitute the pixel data of this picture signal Va if this picture signal Va is recorded in the hard disk drive 305 in the equipment in advance.

In step ST13, whether all frames of decision diagram image signal Va or the processing of field are finished.Finish if handle, then this process end process in step ST14.Otherwise, forward step ST15 to.

In this step ST15, this process is obtained the pixel data of the classification tap that will be used for category classification according to the target location among the picture signal Vb from the picture signal Va that imports among step ST12.In step ST16, from classification tap pixel data, generate classification sign indicating number CL.

Then, in step ST17, according to the classification sign indicating number CL that generates in step ST16, this process reads the corresponding difference data DF with that classification sign indicating number CL in the middle of ROM 302 grades, and it is stored among the RAM 303 temporarily.

Then, in step ST18, the difference data DF that will read in step ST17 adds in the middle of the multinomial pixel data of composing images signal Va, with picture signal Vb in the corresponding pixel data x in target location in, generate the pixel data y of the target location among the picture signal Vb.

If in this case, being stored in difference data DF in ROM 302 grades is the difference data of handling the DCT coefficient that obtains by DCT, so, is the DCT coefficient as the data y of addition result, thereby in step ST18, further it is carried out inverse DCT and handle.And, in this case, the picture signal Va that imports in above-mentioned steps ST12 is carried out DCT handles, with provide with picture signal Vb in the corresponding pixel data x in target location, as the DCT coefficient.

Then, in step ST19, whether this process is adjudicated in the All Ranges of the pixel data of the frame of the picture signal Va that imports in step ST12 or field, obtain the processing of the pixel data of picture signal Vb and finish.Finish if handle, then this process turns back to step ST12, next frame or the field of received image signal Va.Otherwise this process turns back to step ST15, repeats processing same as described above on next target location.

By so carrying out to handle the pixel data of received image signal Va, thereby obtain the pixel data of picture signal Vb along the processing of the flow chart of Fig. 9.As mentioned above, the picture signal Vb that so handles and obtain is outputed to output 315, or be supplied to display 311,, or further it is supplied to hard disk drive 305, it is recorded on the hard disk so that can show the gained image.

Although not shown treatment facility, the processing in the unit 210 of the generation difference data of Fig. 6 also can realize with software.

Below with reference to the flow chart of Figure 10, the processing procedure that generates difference data is described.

At first, in step ST121, this process begins to handle, and, in step ST122, a frame or a field of input teacher signal ST.In step ST123, whether all frames of judgement teacher signal ST or the processing of field are finished.If handle and to finish, this process forwards step ST124 to, the difference data DF of each classification is kept in the memory, and forwards step ST125, end process to.Otherwise, forward step ST126 to.

In step ST126, this process is carried out the MEPG coding to the teacher signal ST that imports in step ST122, and, the gained coded data is carried out mpeg decode, to generate student signal SS.

Then, in step ST127, this process is obtained the pixel data of the classification tap that will be used for category classification according to the target location among the teacher signal ST from the student signal SS that generates among step ST126.In step ST128, from classification tap pixel data, generate classification sign indicating number CL.

Then, in step ST129, this process deducts the pixel data x with the corresponding student signal SS in the target location of teacher signal ST from the pixel data y of the target location of this teacher signal ST, to obtain difference data df.And in step ST129, this process for each classification carries out it is asked average treatment, generates difference data DF according to the classification sign indicating number CL that generates in step ST128.

Then, in step ST130, this process judgement is in the All Ranges of the teacher signal ST that imports in step ST122, and whether the processing that generates difference data DF is finished.Finish if generate the processing of difference data DF, then this process turns back to step ST122, and the next frame or the field of input teacher signal repeat processing same as described above thus.Otherwise this process turns back to step ST127, repeats processing same as described above on next target location.

In this case, in order to generate the difference data of handling the DCT coefficient that obtains by DCT,, be necessary to provide difference data df, as the difference data of DCT coefficient as subtracting each other the result as difference data DF.Under these circumstances, this process is carried out the DCT processing to the teacher signal ST that imports in above-mentioned steps ST122, will convert the DCT coefficient to the corresponding pixel data y in the target location among the teacher signal ST.And, the student signal SS that imports in above-mentioned steps ST125 is carried out DCT handle, will convert the DCT coefficient to the pixel data x of the corresponding student signal SS in the target location among the teacher signal ST.

By so carrying out, can obtain difference data DF by the method identical with the method for the unit 210 that is used for generation difference data as shown in Figure 6 along the processing of the flow chart of Figure 10.

Should be noted that, in image signal processing section 110 according to the digit broadcasting receiver as shown in Figure 1 100 of present embodiment, multinomial data x and y each be and the corresponding data block of DCT piece that is used as a unit in DCT handles, the item number of the data of composition data y (pixel data or DCT coefficient) equals the item number of the data (pixel data or DCT coefficient) of composition data x, and the item number of the pixel data of composing images signal Vb equals the item number of the pixel data of composing images signal Va.

But, also can make the item number of the pixel data of composing images signal Vb equal composing images signal Va pixel data item number N (N is the integer more than or equal to 2) doubly.In this case, the item number of the data of composition data y (pixel data or DCT coefficient) be composition data x data (pixel data or DCT coefficient) item number N doubly.And, in this case, be supplied to the difference data DF of addition section 134 to form from accumulation schedule 131 by the item number difference data identical with the item number of the data of composition data y.For example, if N=4, data x by 8 * 8 item numbers according to forming, and data y by 16 * 16 item numbers according to forming.

In this case, depend on that the difference data DF that is stored in the accumulation schedule 131 is the difference data of the difference data of pixel data or the DCT coefficient (coefficient of frequency) that handle to obtain by DCT, addition section 134 is carried out different additions.

At first, describing the difference data DF that is stored in the accumulation schedule 131 is the situation of the difference data of pixel data.

In this case, every respective pixel data that constitute pixel data x are added in each difference data that is included in each subregion that branches such as difference data DF being divided into N obtains, generate every the pixel data that constitutes pixel data y.

Figure 11 shows under the situation of for example N=4, and the schematic phase add operation that addition section 134 is carried out for simplicity, suppose that pixel data x is made up of 2 * 2 pixel datas, and pixel data y is made up of 4 * 4 pixel datas.Difference data DF is divided into 4 five equilibriums, becomes a ₁-a ₄, b ₁-b ₄, c ₁-c ₄And d ₁-d ₄The pixel data A that constitutes pixel data x is added difference data a ₁-a ₄Each in so that to constitute the pixel data A of pixel data y ₁-A ₄Each.

In addition, the pixel data B that constitutes pixel data x is added difference data b ₁-b ₄Each in so that to constitute the pixel data B of pixel data y ₁-B ₄Each.And, the pixel data C that constitutes pixel data x is added difference data c ₁-c ₄Each in so that to constitute the pixel data C of pixel data y ₁-C ₄Each.And, the pixel data D that constitutes pixel data x is added difference data d ₁-d ₄Each in so that to constitute the pixel data D of pixel data y ₁-D ₄Each.

In addition, difference data DF in this case can generate in the unit 210 of as shown in Figure 6 generation difference data.In this case, for example,, carry out desaturation and handle, make the item number of the pixel data that constitutes student signal SS equal to constitute the 1/N of item number of the pixel data of teacher signal ST using after mpeg 2 encoder 153 decodes.So, the item number that constitutes the pixel data of pixel data y become the pixel data that constitutes pixel data x item number N doubly.For example, if N=4, pixel data x is made up of 8 * 8 pixel datas, and pixel data y is made up of 16 * 16 pixel datas.

In this case, every the pixel data of subtraction part 175 from be included in each zone that pixel data y is divided into branch acquisitions such as N deducts every respective pixel data that constitute pixel data x, so that obtain to constitute every difference data of difference data df.

Figure 12 shows under the situation of for example N=4, and the schematic phase reducing that subtraction part 175 is carried out for simplicity, suppose that pixel data x is made up of 2 * 2 pixel datas, and pixel data y is made up of 4 * 4 pixel datas.Pixel data y is divided into 4 five equilibriums, becomes A ₁-A ₄, B ₁-B ₄, C ₁-C ₄And C ₁-C ₄From pixel data A ₁-A ₄Each in deduct the pixel data A that constitutes pixel data x so that obtain to constitute the difference data a of difference data df ₁-a ₄Each.

In addition, from pixel data B ₁-B ₄Each in deduct the pixel data B that constitutes pixel data x so that obtain to constitute the difference data b of difference data df ₁-b ₄Each.And, from pixel data C ₁-C ₄Each in deduct the pixel data C that constitutes pixel data x so that obtain to constitute the difference data c of difference data df ₁-c ₄Each.And, from pixel data D ₁-D ₄Each in deduct the pixel data D that constitutes pixel data x so that obtain to constitute the difference data d of difference data df ₁-d ₄Each.

Then, the difference data DF that describes in the accumulation schedule 131 that is stored in the image signal processing section 110 (Fig. 1) is a situation of handling the difference data of the DCT coefficient that obtains by DCT.

In this case, a corresponding DCT coefficient that constitutes this DCT coefficient x added in every difference data constituting difference data DF and the corresponding low-frequency component part of DCT coefficient x, so that obtain each DCT coefficient of formation DCT coefficient y.

Figure 13 shows under the situation of for example N=4, and the schematic phase add operation that addition section 134 is carried out for simplicity, suppose that DCT coefficient x is made up of 2 * 2 DCT coefficients, and DCT coefficient y is made up of 4 * 4 DCT coefficients.

The DCT coefficient A-D that constitutes DCT coefficient x added the multinomial difference data a-p that constitutes difference data DF, with the corresponding low-frequency component part of DCT coefficient x a-d in so that obtain to constitute DCT coefficient A '-D ' of DCT coefficient y respectively.And other DCT coefficient e-p of DCT coefficient y in statu quo provides the DCT coefficient e-p that constitutes DCT coefficient y.

In addition, difference data DF in this case can be generated by the unit 210 of as shown in Figure 6 generation difference data.In this case, for example,, carry out desaturation and handle, make the item number of the pixel data that constitutes student signal SS equal to constitute the 1/N of item number of the pixel data of teacher signal ST using after mpeg 2 encoder 153 decodes.So, the number that constitutes the DCT coefficient of DCT coefficient y become the DCT coefficient that constitutes DCT coefficient x number N doubly.For example, if N=4, DCT coefficient x is made up of 8 * 8 DCT coefficients, and DCT coefficient y is made up of 16 * 16 DCT coefficients.

In this case, subtraction part 175 deducts the DCT coefficient that constitutes DCT coefficient x from the DCT coefficient that constitutes DCT coefficient y and the corresponding low-frequency component part of DCT coefficient x, so that obtain the multinomial difference data of formation difference data df.

Figure 14 shows under the situation of for example N=4, and the schematic phase reducing that subtraction part 175 is carried out for simplicity, suppose that DCT coefficient x is made up of 2 * 2 DCT coefficients, and DCT coefficient y is made up of 4 * 4 DCT coefficients.From DCT coefficient A '-p of constituting DCT coefficient y and the corresponding low-frequency component part A of DCT coefficient x '-deduct the DCT coefficient A-D that constitutes DCT coefficient x the D ', so that obtain the multinomial difference data a-d of formation difference data df.And other DCT coefficient e-p of DCT coefficient y in statu quo provides the difference data e-p that constitutes difference data df.

Should be noted that, handle the difference data of the DCT coefficient (coefficient of frequency) that obtains by DCT, can store DCT coefficient itself except storage in accumulation schedule 131.In this case, for example be substituted in the unit 210 of generation difference data as shown in Figure 6, from DCT coefficient y, deduct the difference data df that DCT coefficient x obtains, can utilize the acquisition of DCT coefficient y own will be stored in DCT coefficient in the accumulation schedule 131.

In this case, by the addition section in the image signal processing section 110 134, at least replace DCT coefficient (correction data) and the corresponding low-frequency component of DCT coefficient x with the corresponding DCT coefficient that constitutes DCT coefficient x, so that obtain to constitute the DCT coefficient of DCT coefficient y from accumulation schedule 131.

Figure 15 shows under the situation of for example N=4, and the schematic phase add operation that addition section 134 is carried out for simplicity, suppose that DCT coefficient x is made up of 2 * 2 DCT coefficients, and DCT coefficient y is made up of 4 * 4 DCT coefficients.

Replace coefficient of frequency a-p and the corresponding low-frequency component part of the DCT coefficient x a-d that constitutes DCT coefficient (coefficient of frequency) with the DCT coefficient A-D that constitutes DCT coefficient x, so that DCT coefficient A-D and the e-p that constitutes DCT coefficient y is provided respectively.Can think that all parts that not are e-p all obtain using, but depend on for example classification, can use they some or all.

Although above-mentioned first embodiment has handled the MPEG2 stream that relates to DCT, the present invention can be applied to the processing of other coded message digital signal similarly.And, replacing DCT, coding can relate to any other orthogonal transform such as wavelet transform, discrete sine transform etc.

In addition, although information signal is a picture signal in above-mentioned first embodiment, the present invention is not limited to this.For example, the present invention can be applied to the situation that information signal is an audio signal similarly.

The second embodiment of the present invention is described below.

Figure 16 shows the configuration according to the digit broadcasting receiver 100A of second embodiment.

Digit broadcasting receiver 100A contains the image signal processing section 110A of the image signal processing section 110 in the replacement digit broadcasting receiver 100 as shown in Figure 1, and works in the mode identical with digit broadcasting receiver 100.

Should be noted that the MPEG2 decoder 107 among the digit broadcasting receiver 100A has the configuration identical with MPEG2 decoder 107 (referring to Fig. 2 and its explanation) in as shown in Figure 1 the digit broadcasting receiver 100 and works in an identical manner.But, in the MPEG2 decoder 107 in digit broadcasting receiver 100A, as picture signal Va during from picture and selecting circuit 190 output, except every the pixel data that constitutes this picture signal Va, also export the location of pixels pattern information pi of which position of for example 8 * 8 location of pixels of indicating pixel data to be in the DCT piece in couples with every pixel data.As described later, this location of pixels pattern information pi is as the information of category classification.

To describe image signal processing section 110A in detail below.This image signal processing section 110A represents with identical label with those corresponding parts of as shown in Figure 1 image signal processing section 110, therefore, suitably omits description of them.

This image signal processing section 110A contains category classification part 130, accumulation schedule 131, DCT circuit 132, change over switch 133, addition section 134, inverse DCT circuit 135 and change over switch 136, they respectively with the image signal processing section 110 of above-mentioned Fig. 1 in category classification part 130, accumulation schedule 131, DCT circuit 132, change over switch 133, addition section 134, inverse DCT circuit 135 identical with change over switch 136, therefore, omit description of them.

In addition, this image signal processing section 110A contains the tap selection circuit 137 as data selection means, be used for dateout (pixel data or DCT coefficient) according to addition section 134, take out the multinomial data relevant with the target location among the picture signal Vb selectively, as the data of prediction tapped with output.

If the difference data of pixel data is stored in the accumulation schedule 131, and change over switch 133 is connected with its b-side and uses this change over switch 133, and then tap selection circuit 137 takes out the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 131, and change over switch 133 is connected with its a-side and uses change over switch 133, then tap select circuit 137 takes out selectively with picture signal Vb in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, image signal processing section 110A contains coefficient memory 138.This coefficient memory 138 be used in for the storage of each classification coefficient data Wi in the estimate equation of estimation/prediction computing circuit 140 uses as described later (i=1 ..., n, n are the numbers of prediction tapped).To be supplied to this coefficient memory 138 from the classification sign indicating number CLB that category classification part 139 is as described later exported, as reading address information.From this coefficient memory 138, read the coefficient data Wi with the corresponding estimate equation of classification sign indicating number CLB, it is supplied to estimation/prediction computing circuit 140.The method that generates coefficient data Wi will be described later on.

In addition, image signal processing section 110A contains the category classification part 139 as the classification checkout gear, is used for the affiliated classification (second classification) of pixel data of the target location of detected image signal Vb.These category classification part 139 classification are with a pixel data or the classification that the DCT coefficient is a unit.

Figure 17 shows the configuration of category classification part 139.

This category classification part 139 contains input 139A and the tap selection circuit 139B of received image signal Va ₁-139B _nBe used for according to picture signal Va by this input 139A input, take out the multinomial pixel data of class tap selectively, the classification tap be used under the pixel data y of target location of detected image signal Vb, with a pixel data or the classification that the DCT coefficient is a unit.

In addition, category classification part 139 contains classification generative circuit 139C ₁-139C _n, be used to utilize tap to select circuit 139B ₁-139B _nThe multinomial pixel data that takes out, the classification sign indicating number CLB of n type classification is indicated in generation respectively ₁-CLB _n

In the present embodiment, generate the classification sign indicating number CLB of the classification of one type of indication ₁The classification of this type time of referring to/spatial waveforms classification.Below concise and to the point this kind of describing.

Suppose tap selection circuit 139B ₁With classification generative circuit 139C ₁Constitute to detect this time/system of spatial waveforms classification.

Circuit 139B is selected in tap ₁ Select circuit 137 similar with above-mentioned tap, take out the multinomial data relevant with the target location among the picture signal Vb selectively with output.Classification generative circuit 139C ₁Each of multinomial data is for example carried out 1-position ADRC etc., generate the classification sign indicating number CLB of indication spatial waveforms classification ₁

That in addition, category classification part 139 contains that the input 139D of the target location corresponding location of pixels pattern information pi among input and the picture signal Vb and input carry out as above-mentioned category classification part 139 is the input 139E of the classification sign indicating number CLA of unit class sorting result with the piece.The classification sign indicating number CLBp of indication location of pixels pattern class in statu quo is provided by the information pi of input 139D input.

In addition, category classification part 139 contains classification and merges circuit 139F, is used for classification generative circuit 139C ₁-139C _nThe classification sign indicating number CLB that generates ₁-CLB _n, the classification sign indicating number CLB by input 139D input _pBe merged into a classification sign indicating number CLB with classification sign indicating number CLA by input 139E input; Output 139G with this classification sign indicating number of output CLB.

Refer back to Figure 16 again, image signal processing section 110A further contains estimation/prediction computing circuit 140, is used to utilize the estimate equation of equation (1), selects the data x of the prediction tapped that circuit 137 takes out selectively from tap _iWith the coefficient data W that from coefficient memory 138, reads _iIn calculate the pixel data y relevant with the target location among the picture signal Vb that will generate.

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i} . . . (1)

If tap selection circuit 137 takes out the multinomial pixel data around the target location that is arranged in picture signal Vb selectively, estimation/prediction computing circuit 140 generates the pixel data of the target location among the picture signal Vb.On the other hand, if tap select circuit 137 takes out selectively with picture signal Vb in the target location around corresponding a plurality of DCT coefficients, the corresponding DCT coefficient of pixel data of the target location among 140 generations of estimations/prediction computing circuit and the picture signal Vb.The data y of these estimation/prediction computing circuit 140 calculating is supplied to the b-side stiff end of inverse DCT circuit 135 and change over switch 136.

The operation of this image signal processing section 110A is described below.

Category classification part 130 is according to picture signal Va, generates the classification sign indicating number CLA of the classification under the pixel data of the target location among the indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLA derives from the piece.CLA is supplied to accumulation schedule 131 with this classification sign indicating number, as reading address information.According to this classification sign indicating number CLA, from accumulation schedule 131, read with picture signal Vb in the corresponding difference data DF in target location, and it is supplied to addition section 134.

In addition, by the b-side of change over switch 133, with in the middle of the picture signal Va that is stored in the buffer storage 108, with picture signal Vb in the corresponding pixel data x in target location _pBe supplied to addition section 134.The difference data DF that addition section 134 will be read from accumulation schedule 131 adds this pixel data x _pIn, thereby the corresponding pixel data y of pixel data of the target location among generation and the picture signal Vb _p

In addition, category classification part 139 is according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, generates the classification sign indicating number CLB of the classification under the pixel data of the target location among the indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data Wi, and it is supplied to estimation/prediction computing circuit 140 with classification sign indicating number CLB.

In addition, select in the circuit 137 in tap, according to correcting pixel data y from addition section 134 outputs _p, take out the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively, as the pixel data of prediction tapped.In estimation/prediction computing circuit 140, utilize the pixel data x of prediction tapped _iWith the coefficient data W that from coefficient memory 138, reads _i,, obtain the pixel data y of the target location among the picture signal Vb that will generate according to above-mentioned equation (1).Export this pixel data y by the b-side of change over switch 136, as the output signal of image signal processing section 110A.That is to say this pixel data y composing images signal Vb.

By the a-side of change over switch 133, will be on DCT circuit 132 to picture signal Vb in the multinomial pixel data of the corresponding picture signal Va of pixel data of target location carry out DCT and handle the DCT coefficient x that obtains _pBe supplied to addition section 134.Addition section 134 adds this DCT coefficient x with difference data DF _pIn, and, proofread and correct DCT coefficient x _pThereby, the corresponding DCT coefficient of the pixel data y of the target location among generation and the picture signal Vb _p

In addition, in category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data Wi, and it is supplied to estimation/prediction computing circuit 140 with classification sign indicating number CLB.

In addition, select in the circuit 137 in tap, according to correction DCT coefficient y from addition section 134 outputs _p, take out the target location a plurality of coefficient of frequencies on every side that are arranged in picture signal Vb selectively, as the coefficient of frequency of prediction tapped.In estimation/prediction computing circuit 140, utilize the frequent coefficient x of prediction tapped _iWith the coefficient data W that from coefficient memory 138, reads _i, according to the estimate equation of above-mentioned equation (1), the corresponding DCT coefficient of the pixel data y of the target location among the picture signal Vb that obtains and will generate.

Y is supplied to inverse DCT circuit 135 with this DCT coefficient.In this inverse DCT circuit 135, DCT coefficient y is carried out inverse DCT handle, so that obtain pixel data.Like this, export from the pixel data of inverse DCT circuit 135 outputs, as the output signal of image signal processing section 110A by the a-side of change over switch 136.That is to say this pixel data composing images signal Vb.

Like this, in image signal processing section 110A, when proofreading and correct data (pixel data or the DCT coefficient) x relevant with picture signal Va _p, to obtain data (pixel data or the DCT coefficient) y relevant with picture signal Vb _pThe time, detect data y according to picture signal Va _pAffiliated first category adds data x so that will detect the corresponding difference data DF of classification with this _pIn, with the data y that obtains coding noise is reduced _pThereby, can obtain its coding noise reduce greatly, as the picture signal of picture signal Vb.

In addition, in image signal processing section 110A, utilize the data x of the prediction tapped of selecting according to correction data (pixel data or DCT coefficient) _iWith with picture signal Vb in the pixel data of target location under the corresponding coefficient data W of second classification _iObtain data (pixel data or the DCT coefficient) y of the target location among the picture signal Vb according to estimate equation, thereby reduced in the middle of the coding noise in the information signal that obtains by decoding and coding message digit signal widely, utilize above-mentioned data (correction data) DF to carry out still remaining coding noise after the treatment for correcting.

In addition, category classification part 139 generate classification sign indicating number CLB, and category classification part 130 picture is the category classification of unit with the piece as with pixel data or the DCT coefficient category classification with unit, generation classification sign indicating number CLA.That is to say that the category classification in the category classification part 139 is by make the meticulousr category classification that obtains of the category classification of making in category classification part 130.

In this case, can make in category classification part 130 classification classification number still less, correspondingly, can make to be stored in the difference data in the accumulation schedule 131 item number still less, thereby the memory capacity of having saved accumulation schedule 131.Should be noted that,, also can provide the classification sign indicating number CLB that category classification part for example 139 generates can be as the address information of reading of coefficient memory 138 if do not consider the memory capacity of accumulation schedule 131, and as the configuration of reading address information of accumulation schedule 131.

Coefficient data W in the coefficient memory 138 among the image signal processing section 110A that generation will be stored in Figure 16 is described below _iMethod.This coefficient data W _iBe to generate by study in advance.

At first, this learning method is described.In above-mentioned equation (1), before study, multinomial coefficient data W ₁, W ₂..., W _nBe not determine coefficient.For each classification is learnt multinomial signal data.If the item number of learning data is m,, set up following equation (2) according to equation (1).

y _k＝W ₁×x _k1+W ₂×x _k2+…+W _n×x _kn ... (2)

(k＝1，2，...，m)

Wherein, n represents the number of prediction tapped.

If m＞n, then multinomial coefficient data W _i, W ₂..., W _nCan not be determined uniquely, thereby be determined the element e of error vector e by following equation (3) _k, to obtain to make the e in the equation (4) ²Minimum coefficient data.Coefficient data is determined uniquely by so-called least square method.

e _k＝y _k-{W ₁×x _k1+W ₂×x _k2+…+W _n×x _kn} ...(3)

(k＝1，2，...，m)

e^{2} = Σ_{k = 1}^{m} {e_{k}}^{2} . . . (4)

According to the e that obtains to make by calculating in the equation (4) ²The practical methods of minimum coefficient data, at first, shown in equation (5), can the usage factor data W _i(i=1,2 ..., n) to e ²Ask partial derivative, make local derviation numerical value become 0 mode with each value and obtain coefficient data W for i _i

\frac{&PartialD; e^{2}}{&PartialD; W_{i}} = Σ_{k = 1}^{m} 2 (\frac{&PartialD; e_{k}}{&PartialD; W_{i}}) e_{k} = Σ_{k = 1}^{m} 2 x_{ki} \cdot e_{k} . . . (5)

Describe below and utilize equation (5) to obtain coefficient data W _iParticular procedure.By shown in equation (6) and (7), define X respectively _IjAnd Y _Ij, equation (5) can be rewritten as the determinant of equation (8).

X_{ji} = Σ_{p = 1}^{m} x_{pi} \cdot x_{pj} . . . (6)

Y_{i} = Σ_{k = 1}^{m} x_{ki} \cdot y_{k} . . . (7)

(\begin{matrix} X_{11} & X_{12} & \cdot \cdot \cdot & X_{1 n} \\ X_{21} & X_{22} & \cdot \cdot \cdot & X_{2 n} \\ \cdot \cdot \cdot & \cdot \cdot \cdot & \cdot \cdot \cdot & \cdot \cdot \cdot \\ X_{n 1} & X_{n 2} & \cdot \cdot \cdot & X_{nn} \end{matrix}) (\begin{matrix} W_{1} \\ W_{2} \\ \cdot \cdot \cdot \\ W_{n} \end{matrix}) = (\begin{matrix} Y_{1} \\ Y_{2} \\ \cdot \cdot \cdot \\ Y_{n} \end{matrix}) . . . (8)

Equation (8) is commonly referred to as normal equation.By utilizing the general solution such as elimination approach (Gauss-Yue works as the elimination) to find the solution normal equation, can solve coefficient data Wi (i=1,2 ..., n).

Figure 18 shows the coefficient data W in the coefficient memory 138 among the image signal processing section 110A that generation will be stored in Figure 16 _iThe configuration of unit 250A.

This unit 250A that generates coefficient data contain the input 251 of input and the corresponding teacher signal ST of picture signal Vb, this teacher signal ST that encodes with the mpeg 2 encoder 252 that obtains MPEG2 stream and this MPEG2 stream of decoding to obtain the MPEG2 decoder 253 with the corresponding student signal SS of picture signal Va.Should be noted that MPEG2 decoder 253 is corresponding with MPEG2 decoder 107 and buffering memory 108 among as shown in figure 16 the digit broadcasting receiver 100A.

In addition, the unit 250A that generates coefficient data contains and the student signal SS from 253 outputs of MPEG2 decoder is carried out DCT handles the DCT circuit 254 that obtains the DCT coefficient and will be supplied to a-side stiff end from the DCT coefficient of these DCT circuit 254 outputs and will be supplied to the change over switch 255 of b-side stiff end from the student signal SS of MPEG2 decoder 253 outputs.

If the difference data DF that is stored in the accumulation schedule 256 as described later is the difference data of pixel data, then this change over switch 255 is connected with its b-side, and if difference data DF is the difference data of the DCT coefficient that handle to obtain by DCT, then be connected with the a-side.

In addition, the unit 250A of generation coefficient data contains accumulation schedule 256.Similar with the accumulation schedule 131 among the image signal processing section 110A of Figure 16, accumulation schedule 256 is stored difference data DF for each classification in advance, as the correction data of correction coding noise (coding distortion).

To be supplied to this accumulation schedule 256 from the classification sign indicating number CLA of described category classification part 260 outputs as described later, as reading address information.From this accumulation schedule 156, read corresponding difference data DF, and it is supplied to as described later addition section 262 with classification sign indicating number CLA.

Category classification part 260 is used for detecting the classification under the pixel data of target location of teacher signal ST.Although omitted detailed description here to it, but this category classification part 260 is to arrange in the mode identical with category classification part 130 among as shown in figure 16 the image signal processing section 110A, because it carries out with the piece according to student signal SS is the unit class classification, the classification sign indicating number CL of the classification under the pixel data of the target location among the generation indication teacher signal ST.

In addition, the unit 250A that generates coefficient data contains the teacher signal ST that adjusted the time through delay circuit 257 is carried out the DCT circuit 258 that DCT handles and will be supplied to a-side stiff end from the DCT coefficient of these DCT circuit 258 outputs and will be supplied to the change over switch 259 of b-side stiff end through the teacher signal ST that delay circuit 257 was adjusted the time.If the difference data DF that is stored in the accumulation schedule 256 is the difference data of pixel data, this change over switch 259 is connected with its b-side, and if difference data DF is the difference data of the DCT coefficient that handle to obtain by DCT, be connected with the a-side.

In addition, the unit 250A that generates coefficient data contains the addition section 262 as means for correcting, the difference data DF that is used for reading from accumulation schedule 256 add movable end output from change over switch 255, with the corresponding data in target location (pixel data or the DCT coefficient) x of teacher signal ST _pIn, thereby data (pixel data or the DCT coefficient) y of the target location among the generation teacher signal ST _p

Should be noted that multinomial data x _pAnd y _pEach all is and the DCT that is used as a unit in DCT the handles corresponding data block of determining.In the present embodiment, composition data y _pThe item number of data (pixel data or DCT coefficient) equal composition data x _pThe item number of data (pixel data or DCT coefficient).

In this case, the item number that constitutes the pixel data of teacher signal ST equals to constitute the item number of the pixel data of student signal SS.For example, if data x _pForm by 8 * 8 pixel datas, so, in addition section 262, generate 8 * 8 item number certificates, as data x _pIn this case, the difference data DF that is supplied to addition section 262 from accumulation schedule 256 also by 8 * 8 item numbers according to forming.

In addition, the unit 250A of generation coefficient data contains the tap selection circuit 263 as data selection means, be used for dateout (pixel data or DCT coefficient) according to addition section 262, take out the multinomial data relevant with the target location among the teacher signal ST selectively, as the data of prediction tapped with output.

This tap select circuit 263 be with the image signal processing section 110A of Figure 16 in tap select the identical mode of circuit 137 to arrange.If the difference data of pixel data is stored in the accumulation schedule 256, and change over switch 255 is connected with its b-side and uses this change over switch 255, and then this tap selection circuit 263 takes out the target location multinomial data on every side that are arranged in teacher signal vb selectively.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 256, and change over switch 255 is connected with its a-side and uses this change over switch 255, then this tap select circuit 263 takes out selectively with teacher signal ST in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, the unit 250A of generation coefficient data contains category classification part 264.Although omitted detailed description here to it, but this category classification part 264 is to arrange in the mode identical with category classification part 139 among as shown in figure 16 the image signal processing section 110A, because it is the category classification of unit that the classification sign indicating number CLA that it generates according to student signal SS, location of pixels pattern information pi and category classification part 260 carries out with pixel data or DCT coefficient, generate the classification sign indicating number CL of the classification under the pixel data of the target location among the indication teacher signal ST.

In addition, the unit 250A that generates coefficient data contains normal equation generating apparatus 265, is used for utilizing data (pixel data or the DCT coefficient) y of each target location of movable end output from change over switch 259, teacher signal ST, the data x of, prediction tapped that tap selection circuit 263 selectively take out corresponding with these data y of each target location _iAnd classification sign indicating number CLB corresponding with the pixel data of each target location, that category classification part 264 generates, be generated as each classification and obtain coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

In this case, although with an item number according to y and with it n data xi of corresponding prediction tapped combine and generate a learning data, also can be that each classification generates many item learning datas.So,, obtain coefficient data W for each classification generates by normal equation generating portion 265 _iNormal equation.

In addition, the unit 250A that the generates coefficient data data supply that contains the normal equation that normal equation generating apparatus 265 is generated is given it and is found the solution this normal equation to obtain the coefficient data W of each classification _iCoefficient data determining section 266 and the coefficient data W of each classification of this acquisition of storage _iCoefficient memory 267.

The operation of the unit 250A of generation coefficient data as shown in figure 18 is described below.

At first, describing the difference data DF that is stored in the accumulation schedule 256 is the situation of the difference data of pixel data.In this case, change over switch 255 with 259 each all be connected with their b-side.

To be supplied to input 251 with the corresponding teacher signal ST of picture signal Vb, and encode it by the mpeg 2 encoder 252 that generates MPEG2 stream.This MPEG2 stream is supplied to MPEG2 decoder 253.MPEG2 decoder 253 decoding MPEG2 streams generate and the corresponding student signal SS of picture signal Va.

In category classification part 260, according to student signal SS, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indication teacher signal ST.It is the category classification of unit that this classification sign indicating number CLA derives from the piece.CLA is supplied to accumulation schedule 256 with this classification sign indicating number, as reading address information.According to this classification sign indicating number CLA, from accumulation schedule 256, read with teacher signal ST in the corresponding difference data DF in target location, and it is supplied to addition section 262.

In addition, by the b-side of change over switch 255, in the middle of the data of the student signal SS that will obtain by MPEG2 decoder 253, with teacher signal ST in the corresponding pixel data x in target location _pBe supplied to addition section 262.In addition section 262, the difference data DF that will read from accumulation schedule 256 adds this pixel data x _pIn, proofreaied and correct, thus the corresponding pixel data y of pixel data of the target location among generation and the teacher signal ST _p

In category classification part 264, according to student signal SS, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indication teacher signal ST.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.And, select in the circuit 263 in tap, according to correcting pixel data y from addition section 262 outputs _p, take out the target location multinomial pixel data on every side that is arranged in teacher signal ST selectively, as the pixel data x of prediction tapped _i

In normal equation generating apparatus 265, utilize from the pixel data x of the pixel data y that adjusted each target location that obtains the teacher signal ST of time through delay circuit 257,, prediction tapped that tap selection circuit 263 takes out selectively corresponding with the pixel data y of each target location _iAnd classification sign indicating number CLB corresponding with the pixel data y of each target location, that category classification part 264 generates, be generated as each classification and obtain coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

Then, obtaining the coefficient data W of each classification _iCoefficient data determining section 266 in find the solution this normal equation, and with coefficient data W _iBe stored in the coefficient memory 267.

Then, describing the difference data DF that is stored in the accumulation schedule 256 is the situation of handling the difference data of the DCT coefficient that obtains by DCT.In this case, change over switch 255 with 259 each all be connected with their a-side.

In addition, allow in the middle of the data of the student signal SS that obtains by MPEG2 decoder 253, in DCT circuit 254, stand DCT and handle with the corresponding pixel data in target location among the teacher signal ST, by the b-side of change over switch 255, will be as the DCT coefficient x of its result's acquisition _pBe supplied to addition section 262.In addition section 262, the difference data DF that will read from accumulation schedule 256 adds this DCT coefficient x _pIn, proofreaied and correct, thus the corresponding DCT coefficient of the pixel data y of the target location among generation and the teacher signal ST _p

In category classification part 264, according to student signal SS, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indication teacher signal ST.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.

In addition, select in the circuit 263 in tap, according to correction DCT coefficient y from addition section 262 outputs _p, take out the target location a plurality of DCT coefficients on every side that are arranged in teacher signal ST selectively, as the DCT coefficient x of prediction tapped _i

In addition, the pixel data to the target location among the teacher signal ST that adjusted the time through delay circuit 257 carries out the DCT processing in DCT circuit 258.In normal equation generating apparatus 265, utilize the corresponding DCT coefficient of the pixel data with each target location y that this DCT circuit 258 obtains,, tap corresponding to select the DCT coefficient x of the prediction tapped that circuit 263 takes out selectively with each DCT coefficient y _iAnd classification sign indicating number CLB corresponding with the pixel data of each target location, that category classification part 264 generates, generate and obtain coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

Like this, in the unit 250A of as shown in figure 18 generation coefficient data, can generate the coefficient data W of each classification in the coefficient memory 138 among the image signal processing section 110A that will be stored in Figure 16 _i

This coefficient data W _iBe by on addition section 262, difference data DF is added data (pixel data or the DCT coefficient) x relevant with student signal SS _pIn, proofread and correct this data, according to this correction data (pixel data or DCT coefficient) y _p, take out data x selectively as prediction tapped _i, and use these data x _iGenerate.Therefore, in image signal processing section 110A as shown in figure 16, reduced widely and utilized this coefficient data W _i, among the picture signal Vb that from picture signal Va, obtains by estimate equation, by add difference data DF proofread and correct after still remaining coding noise.

Should be noted that the processing among the image signal processing section 110A of Figure 16 also can realize with software by for example equipment 300 of the processing picture signal of Fig. 8.

Below with reference to the flow chart of Figure 19, the processing procedure of obtaining picture signal Vb from picture signal Va is described.

At first, in step ST101, this process begins to handle, and, in step ST102, make frame of picture signal Va or field by in input 314 input equipments for example.Like this, the multinomial pixel data that constitutes the picture signal Va that imports by input 314 is stored among the RAM 303 temporarily.Should be noted that,, from this driver 305, read this picture signal Va, be stored among the RAM 303 temporarily so that will constitute the multinomial pixel data of this picture signal Va if this picture signal Va is recorded in the hard disk drive 305 in the equipment in advance.

In step ST103, whether all frames of decision diagram image signal Va or the processing of field are finished.Finish if handle, then this process end process in step ST104.Otherwise, forward step ST105 to.

In this step ST105, this process is according to the picture signal Va that imports in step ST102, and carrying out with the piece is the category classification of unit, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indicating image signal Vb.In step ST106, according to the classification sign indicating number CLA that in step ST105, generates, this process reads with classification sign indicating number CLA corresponding difference data DF from ROM 302 grades, and difference data DF is added in the middle of the multinomial pixel data of composing images signal Va, with picture signal Vb in the corresponding pixel data x in target location _pIn proofread and correct it, with generate with picture signal Vb in the corresponding pixel data y of pixel data of target location _p

Then, in step ST107, in the All Ranges of the pixel data of judgement in the picture signal Va that in step ST102, imports, obtain pixel data y _pProcessing whether finish.Finish if handle, then this process forwards step ST108 to.Otherwise this process turns back to step ST105, transfers to the processing of next target location.

In step ST108, this process according to the picture signal Va that in step ST102, imports, with the pixel data of this picture signal Va the location of pixels pattern information pi of input and the classification sign indicating number CLA that in above-mentioned steps ST105, generates in pairs, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indicating image signal Vb.

Then, in step ST109, this process is obtained the target location multinomial pixel data (pixel data of prediction tapped) on every side that is arranged in picture signal Vb according to the pixel data yp that proofreaies and correct in step ST106.In step ST110, this process is read the corresponding coefficient data W with that classification sign indicating number CLB according to the classification sign indicating number CLB that generates from ROM 302 grades in step ST108 _i, and utilize estimate equation (referring to equation (1)), with this coefficient data W _iPixel data x with prediction tapped _iBe used for generating the pixel data y of the target location of picture signal Vb.

Then, in step ST111, whether this process judgement is obtained the processing of the pixel data of picture signal Vb and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST102.Also do not finish if handle, then this process turns back to step ST108, transfers to the processing of next target location.On the other hand, finish if handle, then this process turns back to step ST102, transfers to the next frame of received image signal Va or the processing of field.

In this case, if the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, then this process is carried out the DCT processing to the picture signal Va that imports in step ST102, so that the data x that difference data DF will be added wherein to be provided _p, as the DCT coefficient.In this case, in step ST106,, obtain DCT coefficient y as addition result _p

In addition, in step ST109, this process is according to the DCT coefficient y that proofreaies and correct in step ST106 _p, obtain with picture signal Vb in the target location around corresponding a plurality of DCT coefficients.For example, this process is obtained and is in and the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and the DCT coefficient in 4 DCT coefficient block adjacent with this DCT coefficient block, as a plurality of DCT coefficients.

In addition, because the data y that obtains by estimate equation in step ST110 is the DCT coefficient, so this process further carries out inverse DCT to it and handles, to generate the pixel data of the target location among the picture signal Vb.

Like this, by carrying out to handle the pixel data of received image signal Va, thereby obtain the pixel data of picture signal Vb along the processing of the flow chart of Figure 19.As mentioned above, the picture signal Vb that so handles and obtain is outputed to output 315, or be supplied to the display part 311 that can show the image that derives from this signal, or further it is supplied to it is recorded in hard disk drive 305 on the hard disk.

In addition, although not shown processing unit, the processing among the unit 250A of the generation coefficient data of Figure 18 also can realize with software.

Below with reference to the flow chart of Figure 20, the processing procedure that generates coefficient data is described.

At first, in step ST141, this process begins to handle, and, in step ST142, a frame or a field of input teacher signal.In step ST143, whether all frames of judgement teacher signal or the processing of field are finished.Also do not finish if handle, then this process forwards step ST144 to, in step S144, generates student signal among step ST142 from the teacher signal of importing.

In step ST145, this process is carried out the category classification with block unit according to the student signal SS that generates in step ST144, with the classification sign indicating number CLA of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST146, according to the classification sign indicating number CLA that in step ST145, generates, this process reads with classification sign indicating number CLA corresponding difference data DF from ROM 302 grades, and difference data DF add is constituted in the middle of the multinomial pixel data of student signal SS, with teacher signal ST in the corresponding pixel data x in target location _pIn proofread and correct it, with generate with teacher signal ST in the corresponding pixel data y of pixel data of target location _p

In step ST147, judgement is obtained pixel data y in the All Ranges of the pixel data of the student signal SS that generates in step ST144 _pProcessing whether finish.Finish if handle, then this process forwards step ST148 to.Otherwise this process turns back to step ST145, transfers to the processing of next target location.

In step ST148, this process according to the student signal SS that in step ST144, generates, for with teacher signal ST in the corresponding location of pixels pattern information pi that obtains of pixel data of the corresponding student signal of the pixel data of target location and the classification sign indicating number CLA that in above-mentioned steps ST145, generates, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST149, this process is according to the pixel data y that proofreaies and correct in step ST146 _p, obtain target location multinomial pixel data (pixel data of the prediction tapped) x on every side that is arranged in teacher signal ST _iIn step ST150, the judgement of this process is in the All Ranges of frame of the pixel data of the teacher signal ST that imports in step ST142 or field, and whether study is handled and finished.If study is handled and finished, then this process turns back to step ST142, and therefore the next frame or the field of input teacher signal repeat processing same as described above.Otherwise this process forwards step ST151 to.

In this step ST151, the classification sign indicating number CLB that this process utilization generates in step ST148, the multinomial pixel data x that in step ST149, obtains _iPixel data y with target location among the teacher signal ST is generated as each classification and obtains coefficient data W _iNormal equation (referring to equation (8)), turn back to step ST148 then, transfer to the processing of next target location.

Finish if handle in above-mentioned steps ST143, then this process utilizes elimination approach etc. to find the solution the normal equation that generates in above-mentioned steps ST152 in step ST151, calculates the coefficient data of each classification.In step ST153, this process is kept at the coefficient data of each classification in the memory, and in step ST154 end process.

Like this, by carrying out, can utilize the method identical to obtain the coefficient data W of each classification with the method for the unit 250A that is used for generation coefficient data as shown in figure 18 along the processing of the flow chart of Figure 20 _i

If in this case, the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, then this process is carried out the DCT processing to the student signal SS that generates in step ST144, so that the data x that difference data DF will be added wherein to be provided _p, as the DCT coefficient.So, in step ST146,, obtain DCT coefficient y as addition result _p

In addition, in step ST149, this process is according to the DCT coefficient y that proofreaies and correct in step ST146 _p, obtain with teacher signal ST in the target location around corresponding a plurality of DCT coefficients.For example, this process is obtained and is in and the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and the DCT coefficient in 4 DCT coefficient block adjacent with this DCT coefficient block, as a plurality of DCT coefficients.

In addition, in this case, when in step ST151, generating normal equation, this process with in step ST149, the pixel data of the target location among the teacher signal ST is carried out DCT and handles the DCT coefficient that a plurality of DCT coefficients that obtain obtain to constitute learning data in couples.

The third embodiment of the present invention is described below.

Figure 21 shows the configuration according to the digit broadcasting receiver 100B of the 3rd embodiment.In this Figure 21, represent with identical label with those corresponding parts of Figure 16.

Digit broadcasting receiver 100B contains the image signal processing section 110B of the image signal processing section 110A among the replacement digit broadcasting receiver 100A as shown in figure 16, and works in the mode identical with digit broadcasting receiver 100A.

The details of image signal processing section 110B will be described below.In this image signal processing section 110B, represent with identical label with those corresponding parts of as shown in figure 16 image signal processing section 110A, and omit detailed description them.

This image signal processing section 110B contains the tap selection circuit 141 as data selection means, be used for according to from the input of the movable end of change over switch 133, with the corresponding data in target location (pixel data or DCT coefficient) of picture signal Vb, take out selectively and output and picture signal Vb in the corresponding multinomial data in target location, as the multinomial data x of prediction tapped _i(i=1-m).

If the difference data of pixel data is stored in the accumulation schedule 131, and change over switch 133 is connected with its b-side and uses this change over switch 133, and then tap selection circuit 141 takes out the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 131, and change over switch 133 is connected with its a-side and uses change over switch 133, then tap select circuit 141 takes out selectively with picture signal Vb in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, image signal processing section 110B contains the tap selection circuit 142 as data selection means, be used for according to difference data DF corresponding from the classification sign indicating number CLA of category classification part 130 output, that read from accumulation schedule 131, take out selectively and the corresponding multinomial difference data of multinomial data that output and above-mentioned tap select circuit 141 to select, as the multinomial data x of prediction tapped _i(i=m+1 ..., n).

In addition, image signal processing section 110B contains estimation/prediction computing circuit 143, be used to utilize the estimate equation of equation (1), from tap select the prediction tappeds that

circuit

141 and 142 takes out selectively data xi and with classification sign indicating number CLA coefficient data W corresponding, that from coefficient memory 138, read from 139 outputs of category classification part _iIn calculate the pixel data y relevant with the target location among the picture signal Vb that will generate.

If select to take out the target location multinomial pixel data on every side that is arranged in picture signal Vb in the circuit 141 selectively in tap, then estimation/prediction computing circuit 143 generates the pixel data of the target location among the picture signal Vb.On the other hand, if take out selectively with picture signal Vb in the target location around corresponding a plurality of DCT coefficients, the then corresponding DCT coefficient of pixel data of the target location among 143 generations of estimations/prediction computing circuit and the picture signal Vb.

Those of other parts of image signal processing section 110B and image signal processing section 110A as shown in figure 16 have identical configuration.

The operation of this image signal processing section 110B is described below.

Tap selects circuit 141 according to the picture signal Va that is stored in the buffer storage 108, takes out and export the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively, as the multinomial data x of prediction tapped _i(i=1 ..., m).

In category classification part 130, according to picture signal Va, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLA derives from the piece.CLA is supplied to accumulation schedule 131 with this classification sign indicating number, as reading address information.According to this classification sign indicating number CLA, from accumulation schedule 131, read with picture signal Vb in the corresponding difference data DF in target location.

In circuit 142 is selected in tap, according to the difference data DF that from accumulation schedule 131, reads, take out selectively and the corresponding multinomial difference data of multinomial pixel data of circuit 141 selections is selected in output and above-mentioned tap, as the multinomial data x of prediction tapped _i(i=m+1 ..., n).

Category classification part 139 is according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, generates the classification sign indicating number CLB of the classification under the pixel data of the target location among the indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 143.

In estimation/prediction computing circuit 143, utilize tap to select the multinomial data x of the prediction tapped that

circuit

141 and 142 takes out selectively _iWith the coefficient data W that from coefficient memory 138, reads _i,, obtain the pixel data y of the target location among the picture signal Vb that will generate according to above-mentioned equation (1).Export this pixel data y by the b-side of change over switch 136, as the output signal of image signal processing section 110B.That is to say this pixel data y composing images signal Vb.

Tap select circuit 141 according to undertaken by multinomial pixel data picture signal Va DCT handle obtain, from DCT circuit 132 receive and with picture signal Vb the corresponding DCT coefficient of pixel data of target location, take out selectively with picture signal Vb in the target location around a plurality of DCT coefficients, as the multinomial data x of prediction tapped _i(i=1 ..., m).

Select in the circuit 142 in tap,, take out the corresponding multinomial difference data of a plurality of DCT coefficients of selecting circuit 141 to select with above-mentioned tap selectively, as the multinomial data x of prediction tapped according to the difference data DF that from accumulation schedule 131, reads _i(i=m+1 ..., n).

In category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit (is unit with the DCT coefficient) that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 143.

circuit

141 and 142 takes out selectively _iWith the coefficient data W that from coefficient memory 138, reads _i, according to the estimate equation of above-mentioned equation (1), the corresponding DCT coefficient of the pixel data y of the target location among the picture signal Vb that obtains and will generate.

Then, this DCT coefficient y is supplied to inverse DCT circuit 135.135 pairs of DCT coefficients of this inverse DCT circuit y carries out inverse DCT to be handled to obtain pixel data.Like this, export from the pixel data of inverse DCT circuit 135 outputs, as the output signal of image signal processing section 110B by the a-side of change over switch 136.That is to say this pixel data composing images signal Vb.

Like this, in image signal processing section 110B,, during with acquisition picture signal Vb,, select the multinomial data x of prediction tapped according to the data relevant (pixel data or DCT coefficient) with picture signal Va as converted image signal Va _i, and, according to picture signal Vb in the pixel data of target location under the corresponding difference data DF of first category, select the multinomial data x of prediction tapped _i, in addition, utilize these data item x of prediction tapped _iWith with picture signal Vb in the pixel data of target location under the corresponding coefficient data W of second classification _i, according to data (pixel data or the DCT coefficient) y of the target location among the estimate equation acquisition picture signal Vb.

This operation is equivalent to basically in image signal processing section 110A as shown in figure 16, proofreaies and correct the data relevant with picture signal Va (pixel data or DCT coefficient) x _p, to obtain data (pixel data or the DCT coefficient) y relevant with picture signal Vb _pOperation, and, utilize the multinomial data x of the prediction tapped of selecting according to this correction data (pixel data or DCT coefficient) _iWith coefficient data W _i, obtain data (pixel data or the DCT coefficient) y of the target location among the picture signal Vb according to estimate equation, thereby can obtain the signal that its coding noise reduces greatly, as picture signal Vb.

Generation is described below is stored in coefficient data W in the coefficient memory 138 among as shown in figure 21 the image signal processing section 110B _iUnit 250B.Figure 22 shows the configuration of the unit 250B that generates coefficient data.In Figure 22, represent with identical label with those corresponding parts of Figure 18.

The unit 250B of generation coefficient data contains the tap selection circuit 271 as data selection means, be used for according to from the output of the movable end of change over switch 255, with the corresponding data in target location (pixel data or DCT coefficient) of teacher signal ST, take out the multinomial data relevant with the target location among the teacher signal ST selectively, as the multinomial data x of prediction tapped with output _i(i=1 ..., m).

This tap selects the tap selection circuit 141 among the image signal processing equipment 110B among circuit 271 and Figure 21 to have identical configuration.If the difference data of pixel data is stored in the accumulation schedule 256, and change over switch 255 with 259 each all be connected and use these change over

switches

255 and 259, the tap target location multinomial pixel data on every side selecting circuit 271 to take out selectively to be arranged in teacher signal ST then with their b-side.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 256, and change over switch 255 with 259 each all be connected and use change over

switch

256 and 259 with their a-side, then tap select circuit 271 takes out selectively with teacher signal ST in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, the unit 250B of generation coefficient data contains the tap selection circuit 272 as data selection means, be used for according to difference data DF corresponding from the classification sign indicating number CLA of category classification part 260 output, that read from accumulation schedule 256, take out selectively and the corresponding multinomial difference data of multinomial data that output and above-mentioned tap select circuit 271 to select, as the multinomial data x of prediction tapped _i(i=m+1 ..., n).This tap selects the tap selection circuit 142 among the image signal processing equipment 110B among circuit 272 and Figure 21 to have identical configuration.

In addition, the unit 250B that generates coefficient data contains normal equation generating apparatus 273, is used for utilizing data (pixel data or DCT coefficient) y, the tap of each target location of movable end output from change over switch 259, teacher signal ST to select the multinomial data x of the prediction tapped that

circuit

271 and 272 takes out selectively _iClassification sign indicating number CLB with from 264 outputs of category classification part is generated as each classification and obtains multinomial coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

In this case, although with an item number according to y and with it the n item number of corresponding prediction tapped according to x _iCombining generates a learning data, but also can generate many learning datas for each classification.So, in normal equation generating portion 273, obtain coefficient data W for each classification generates _iNormal equation.

The operation of the unit 250B of generation coefficient data as shown in figure 22 is described below.

Select in the circuit 271 in tap,, take out the target location multinomial pixel data on every side that is arranged in teacher signal ST selectively, as the multinomial data x of prediction tapped according to student signal from mpeg 2 encoder 252 outputs _i(i=1 ..., m).

In category classification part 260, according to student signal SS, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indication teacher signal ST.It is the category classification of unit that this classification sign indicating number CLA derives from the piece.CLA is supplied to accumulation schedule 256 with this classification sign indicating number, as reading address information.According to this classification sign indicating number CLA, from accumulation schedule 256, read with teacher signal ST in the corresponding difference data DF in target location.

Select in the circuit 272 in tap,, take out the corresponding multinomial difference data of multinomial pixel data of selecting circuit 271 to select with above-mentioned tap selectively, as the multinomial data x of prediction tapped according to the difference data DF that from accumulation schedule 256, reads _i(i=m+1 ..., n).

In category classification part 264, according to student signal SS, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indication teacher signal ST.

In normal equation generating apparatus 273, utilize from the multinomial pixel data x of the pixel data y that adjusted each target location that obtains the teacher signal ST of time through delay circuit 257,, prediction tapped that

tap selection circuit

271 and 272 takes out selectively corresponding with this pixel data y of each target location _iAnd classification sign indicating number CLB corresponding with the pixel data y of each target location, that category classification part 264 generates, be generated as each classification and obtain coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

Then, describing the difference data DF that is stored in the accumulation schedule 256 is the situation of the difference data of DCT coefficient.In this case, change over switch 255 with 259 each all be connected with their a-side.

To be supplied to input 251 with the corresponding teacher signal ST of picture signal Vb, and encode it by the mpeg 2 encoder 252 that generates MPEG2 stream.This MPEG2 stream is supplied to MPEG2 decoder 253.This MPEG2 stream of MPEG2 decoder 253 decodings generates and the corresponding student signal SS of picture signal Va.

Select in the circuit 271 in tap, according to undertaken by multinomial pixel data student signal SS DCT handle to obtain, from DCT circuit 254, obtain and with teacher signal ST in the corresponding DCT coefficient of pixel data of target location, take out the target location a plurality of DCT coefficients on every side that are arranged in teacher signal ST selectively, as the multinomial data x of prediction tapped _i(i=1 ..., m).

Select in the circuit 272 in tap,, take out the corresponding multinomial difference data of a plurality of DCT coefficients of selecting circuit 271 to select with above-mentioned tap selectively, as the multinomial data x of prediction tapped according to the difference data DF that from accumulation schedule 256, reads _i(i=m+1 ..., n).

In DCT circuit 258 pixel data among the teacher signal ST that adjusted the time through delay circuit 257 being carried out DCT handles.In normal equation generating apparatus 273, utilize DCT coefficient y corresponding with the pixel data of each target location, that obtain by this DCT circuit 258,, tap corresponding to select the multinomial pixel data x of the prediction tapped that

circuit

271 and 272 takes out selectively with each DCT coefficient y _iAnd classification sign indicating number CLB corresponding with the pixel data of each target location, that category classification part 264 generates, be generated as each classification and obtain coefficient data W _i(i=1 ..., normal equation n) (referring to equation (8)).

Like this, in the unit 250B of as shown in figure 22 generation coefficient data, can generate the coefficient data W of each classification in the coefficient memory 138 among the image signal processing section 110B that will be stored in Figure 21 _i

This coefficient data W _iBe by according to data (pixel data or DCT coefficient) and the difference data (correction data) relevant, take out and utilize multinomial data x selectively as prediction tapped with student signal SS _iGenerate.Therefore, in image signal processing section 110B as shown in figure 21, utilize this coefficient data W _i, the picture signal Vb that obtains from picture signal Va by estimate equation contains the coding noise that greatly reduces.

Should be noted that the processing among the image signal processing section 110B as shown in figure 21 also can realize with software by for example as shown in Figure 8 the equipment 300 of processing picture signal.

Below with reference to the flow chart of Figure 23, the processing procedure of obtaining picture signal Vb from picture signal Va is described.

At first, in step ST201, this process begins to handle, and, in step ST202, make frame of picture signal Va or field from input 314 input equipments for example.Like this, the pixel data that constitutes the picture signal Va that imports by input 314 is stored among the RAM 303 temporarily.Should be noted that,, from this driver 305, read this picture signal Va, be stored among the RAM 303 temporarily so that will constitute the pixel data of this picture signal Va if this picture signal Va is recorded in the hard disk drive 305 in the equipment in advance.

In step ST203, whether all frames of decision diagram image signal Va or the processing of field are finished.Finish if handle, this process is end process in step ST204.Otherwise, forward step ST205 to.

Then, in this step ST205, it is the category classification of unit that this process is carried out with the piece, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indicating image signal Vb.In step ST206, according to the classification sign indicating number CLA that generates in step ST205, this process reads with classification sign indicating number CLA corresponding difference data DF from ROM 302 grades, and it is stored among the RAM 303 temporarily.

Then, in step ST207, whether judgement is obtained the processing of pixel data and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST202.If finish, this process forwards step ST208 to.Otherwise this process turns back to step ST205, transfers to the processing of next target location.

In step ST208, this process according to the picture signal Va that in step ST202, imports, with the pixel data of this picture signal Va the location of pixels pattern information pi of input and the classification sign indicating number CLA that in above-mentioned steps ST205, generates in pairs, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indicating image signal Vb.

In step ST209, this process is obtained the target location multinomial pixel data on every side that is arranged in picture signal Vb, as multinomial data x according to the picture signal Va that imports in step ST202 _i(i=1 ..., n), and, according to the difference data DF that in step ST206, reads, obtain and the corresponding multinomial difference data of above-mentioned multinomial pixel data, as multinomial data x _i(i=m+1 ..., n).

Then, in step ST210, according to that classification sign indicating number CLB that generates in step ST208, this process is read with classification sign indicating number CLB corresponding coefficient data W from ROM 302 grades _iWith by estimate equation (referring to equation (1)), with this coefficient data W _iPixel data x with prediction tapped _iBe used for generating the pixel data y of the target location of picture signal Vb.

Then, in step ST211, whether this process judgement is obtained the processing of the pixel data of picture signal Vb and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST202.Also do not finish if handle, this process turns back to step ST208, transfers to the processing of next target location.On the other hand, finish if handle, this process turns back to step ST202, transfers to the next frame of received image signal Va or the processing of field.

In this case, if the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, this process is carried out the DCT processing to the picture signal Va that imports in step ST202, so that DCT to be provided coefficient.And, in step ST209, according to by received image signal Va being carried out the DCT coefficient that DCT handle to obtain, this process obtain with picture signal Vb in the target location around corresponding a plurality of DCT coefficients, as the multinomial data x of prediction tapped _i(i=1 ..., m).For example, this process is obtained and is in and the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and the DCT coefficient in 4 DCT coefficient block adjacent with this DCT coefficient block, as a plurality of DCT coefficients.

In addition, because the data y that obtains by estimate equation in step ST210 is the DCT coefficient, this process is further carried out the inverse DCT processing, to generate the pixel data of the target location among the picture signal Vb.

Like this, by carrying out to handle the pixel data of received image signal Va, thereby obtain the pixel data of picture signal Vb along the processing of the flow chart of Figure 23.As mentioned above, the picture signal Vb that so handles and obtain is offered output 315, or be supplied to display part 311,, or further it is supplied to it is recorded in hard disk drive 305 on the hard disk so that can show the image that derives from this signal.

In addition, although not shown treatment facility, the processing among the unit 250B of the generation coefficient data of Figure 22 also can realize with software.

Below with reference to the flow chart of Figure 24, the processing procedure that generates coefficient data is described.

At first, in step ST241, this process begins to handle, and, in step ST242, only import a frame or field of teacher signal.In step ST243, whether all frames of judgement teacher signal or the processing of field are finished.Also do not finish if handle, this process forwards step ST244 to, generates student signal from the teacher signal of importing among step ST242.

In step ST245, this process is carried out the category classification with block unit according to the student signal SS that generates in step ST244, with the classification sign indicating number CLA of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST246, according to the classification sign indicating number CLA that generates in step ST245, this process reads the corresponding difference data DF with that classification sign indicating number CLA from ROM 302 grades, and it is stored among the RAM temporarily.

In step ST247, whether judgement is read the processing of difference data and is finished in the All Ranges of the pixel data of the student signal SS that generates in step ST244.Finish if handle, this process forwards step ST248 to.Otherwise this process turns back to step ST245, transfers to the processing of next target location.

In step ST248, this process according to the student signal SS that in step ST244, generates, for with the top teacher signal ST that does not state in the corresponding location of pixels pattern information pi that obtains of pixel data of the corresponding student signal SS of the pixel data of target location and the classification sign indicating number CLA that in above-mentioned steps ST245, generates, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST249, this process is obtained the target location multinomial pixel data on every side that is arranged in teacher signal ST, as multinomial data x according to the student signal SS that generates in step ST244 _i(i=1 ..., m), and, according to the difference data DF that in step ST246, reads, obtain and the corresponding difference data of above-mentioned multinomial pixel data, as multinomial data x _i(i=m+1 ..., n).

In step ST250, the judgement of this process is in the All Ranges of frame of the pixel data of the teacher signal of importing in step ST242 or field, and whether study is handled and finished.If study is handled and finished, this process turns back to step ST242, and therefore the next frame or the field of input teacher signal repeat processing same as described above.Otherwise this process forwards step ST251 to.

In this step ST251, the classification sign indicating number CLB that this process utilization generates in step ST248, the multinomial pixel data x that in step ST249, obtains _iPixel data y with target location among the teacher signal ST is generated as each classification and obtains coefficient data W _iNormal equation (referring to equation (8)), turn back to step ST248 then, transfer to the processing of next target location.

Finish if handle in above-mentioned steps ST243, then this process utilizes elimination approach etc. to find the solution the normal equation that generates in step ST252 in step ST251, calculates the coefficient data of each classification.In step ST253, this process is kept at the coefficient data of each classification in the memory, and in step ST254 end process.

Like this, by carrying out processing, can utilize the method identical to obtain the coefficient data W of each classification with the method for the unit 250B that is used for generation coefficient data as shown in figure 22 along as shown in figure 24 flow chart _i

If in this case, the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, and this process is carried out the DCT processing to the student signal SS that generates in step ST244, so that DCT to be provided coefficient.In step ST249, according to that DCT coefficient, this process obtain with teacher signal ST in the target location around corresponding a plurality of DCT coefficients, as multinomial data x _i(i=1 ..., m).For example, this process is obtained and is in and the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and the DCT coefficient in 4 DCT coefficient block adjacent with this DCT coefficient block, as a plurality of DCT coefficients.

In addition, in this case, when generating normal equation in step ST251, this process is carried out the DCT processing to the pixel data of the target location among the teacher signal ST, obtains the multinomial data x with the prediction tapped that obtains in step ST149 _iPaired DCT coefficient is to constitute learning data.

The fourth embodiment of the present invention is described below.

Figure 25 shows the configuration according to the digit broadcasting receiver 100C of the 4th embodiment.In Figure 25, represent with identical label with those corresponding parts of Figure 16.

Digit broadcasting receiver 100C contains the image signal processing section 110C of the image signal processing section 110A among the replacement digit broadcasting receiver 100A as shown in figure 16, and works in the mode identical with digit broadcasting receiver 100A.

The details of image signal processing section 110C will be described below.In this image signal processing section 110C, represent with identical label with those corresponding parts of as shown in figure 16 image signal processing section 110A, and omit detailed description them.

This image signal processing section 110C contains the tap selection circuit 144 as data selection means, be used for according to difference data DF corresponding from the classification sign indicating number CLA of category classification part 130 output, that read from accumulation schedule 131, take out the multinomial difference data relevant with the target location among the picture signal Vb selectively, as the multinomial data x of prediction tapped with output _i(i=1 ..., n).

If the difference data of pixel data is stored in the accumulation schedule 131, and change over switch 133 is connected with its b-side and uses this change over switch 133, and then tap selects circuit 144 to take out selectively and the target location that the is arranged in picture signal Vb corresponding difference data of multinomial pixel data on every side.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 131, and change over switch 133 is connected with its a-side and uses change over switch 133, then tap select circuit 144 takes out selectively with picture signal Vb in the target location corresponding difference data of a plurality of DCT coefficients on every side.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, image signal processing section 110C contains estimation/prediction computing circuit 145, is used to utilize the estimate equation of equation (1), selects the multinomial data x of the prediction tapped that circuit 144 takes out selectively from tap _iAnd with classification sign indicating number CLA coefficient data W corresponding, that from coefficient memory 138, read from category classification part 139 output _iIn calculate with the picture signal Vb that will generate in the corresponding difference data DF ' in target location.

In addition, image signal processing section 110C contains the addition section 146 as means for correcting, is used for difference data DF ' addings that estimation/prediction computing circuit 143 is obtained data (pixel data or DCT coefficient) x corresponding with the target location of picture signal Vb, that export from the movable end of change over switch 133 _pIn, therefore generate data (pixel data or the DCT coefficient) y of the target location among the picture signal Vb _p

Those of other parts of image signal processing section 110C and image signal processing section 110A as shown in figure 16 have identical configuration.

The operation of this image signal processing section 110C is described below.

Select in the circuit 144 in tap, according to classification sign indicating number CLA difference data DF corresponding, that from accumulation schedule 131, read from category classification part 130 output, take out selectively and the target location that the is arranged in picture signal Vb corresponding difference data of multinomial pixel data on every side, as the multinomial data x of prediction tapped _i(i=1 ..., m).

In category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 145.

In estimation/prediction computing circuit 145, utilize tap to select the multinomial data x of the prediction tapped that circuit 144 takes out selectively _iWith the coefficient data W that from coefficient memory 138, reads _i, according to the estimate equation of above-mentioned equation (1), the corresponding difference data y of pixel data (DF ') of the target location among the picture signal Vb that obtains and will generate.

By the b-side of change over switch 133, with in the middle of the picture signal Va that is stored in the buffer storage 108, with picture signal Vb in the corresponding pixel data x in target location _pBe supplied to addition section 146.And, with estimation/prediction computing circuit 145 that generate with this pixel data x target location _pCorresponding difference data DF ' is supplied to addition section 146.

Then, in addition section 146, with difference data DF ' adding pixel data x _pIn, so that proofread and correct them, generate the pixel data y of the target location among the picture signal Vb _pExport this pixel data y by the b-side of change over switch 136 _p, as the output signal of image signal processing section 110C.That is to say this pixel data y _pComposing images signal Vb.

Select in the circuit 144 in tap, according to classification sign indicating number CLA difference data DF corresponding, that from accumulation schedule 131, read from category classification part 130 output, take out selectively with picture signal Vb in the target location around the corresponding difference data of a plurality of DCT coefficients, as the multinomial data x of prediction tapped _i(i=1 ..., m).

In category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit (is unit with the DCT coefficient) that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 145.

By the a-side of change over switch 133, will handle generate by the multinomial pixel data among the picture signal Va being carried out DCT, by DCT circuit 132 obtain and with picture signal Vb in the corresponding DCT coefficient of the pixel data x of target location _pBe supplied to addition section 146.And, with estimation/prediction computing circuit 145 that generate with this pixel data x target location _pCorresponding difference data DF ' is supplied to addition section 146.

Then, in addition section 146, with difference data DF ' adding pixel data x _pIn, so that proofread and correct them, the corresponding DCT coefficient of the pixel data y of the target location among generation and the picture signal Vb _pWith this DCT coefficient y _pBe supplied to inverse DCT circuit 135.135 pairs of DCT coefficients of this inverse DCT circuit y _pCarry out inverse DCT and handle, to obtain pixel data.A-side by change over switch 136 is exported from the pixel data of inverse DCT circuit 135 outputs, as the output signal of image signal processing section 110C.That is to say this pixel data composing images signal Vb.

Like this, in image signal processing section 110C, as converted image signal Va, during with acquisition picture signal Vb, according to picture signal Vb in the pixel data of target location under the corresponding difference data of first category (correction data) DF, select the data x of prediction tapped _i, therefore, utilize the data x of prediction tapped _iWith with picture signal Vb in the pixel data of target location under the corresponding coefficient data W of second classification _i, according to estimate equation obtain with picture signal Vb in the corresponding difference data of pixel data (correction data) DF ' of target location, and difference data DF ' is used to proofread and correct the data relevant with picture signal Va (pixel data or DCT coefficient) x _pThereby, data (pixel data or the DCT coefficient) y of the target location among the acquisition picture signal Vb _p

This operation is equivalent to basically in image signal processing section 110A as shown in figure 16, proofreaies and correct the data relevant with picture signal Va (pixel data or DCT coefficient) x _p, to obtain data (pixel data or the DCT coefficient) y relevant with picture signal Vb _pOperation, and, utilize the data x of the prediction tapped of selecting according to this correction data (pixel data or DCT coefficient) _iWith coefficient data W _i, obtain data (pixel data or the DCT coefficient) y of the target location among the picture signal Vb according to estimate equation, thereby can obtain the signal that coding noise reduces greatly, as picture signal Vb.

Generation is described below is stored in coefficient data W in the coefficient memory 138 among as shown in figure 25 the image signal processing section 110C _iUnit 250C.Figure 26 shows the configuration of the unit 250C that generates coefficient data.In this Figure 25, represent with identical label with those corresponding parts of Figure 18.

The unit 250C that generates coefficient data contains subtraction part 274, be used for from the target location of teacher signal ST, from data (pixel data or the DCT coefficient) y of the movable end output of change over switch 259 _pIn deduct corresponding with the target location among this teacher signal ST, from data (pixel data or the DCT coefficient) x of the movable end of change over switch 255 output _pThereby, obtain difference data.

In addition, the unit 250C of generation coefficient data contains the tap selection circuit 275 as data selection means, be used for according to difference data DF corresponding from the classification sign indicating number DF of category classification part 260 output, that read from accumulation schedule 256, take out the multinomial difference data relevant with the target location among the teacher signal ST selectively, as the multinomial data x of prediction tapped with output _i(i=1 ..., n).

This tap selects the tap selection circuit 144 among the image signal processing equipment 110C among circuit 275 and Figure 25 to have identical configuration.If the difference data of pixel data is stored in the accumulation schedule 256, and change over switch 255 with 259 each all be connected and use these change over

switches

255 and 259 with their b-side, then tap is selected circuit 275 to take out selectively to be arranged in and the target location that the is positioned at teacher signal ST corresponding difference data of multinomial pixel data on every side.

switch

256 and 259 with their a-side, then tap select circuit 275 takes out selectively with teacher signal ST in the target location corresponding difference data of a plurality of DCT coefficients on every side.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, the unit 250C that generates coefficient data contains normal equation generating apparatus 276, be used for utilizing corresponding with each target location of teacher signal ST, from the multinomial data x that data y, tap select the prediction tapped that circuit 275 takes out selectively that subtracts each other of subtraction part 274 outputs _iClassification sign indicating number CLB with from 264 outputs of category classification part is generated as each classification and obtains multinomial coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

In this case, although with an item number according to y and with it the n item number of corresponding prediction tapped according to x _iCombining generates a learning data, but also can generate many learning datas for each classification.So, in normal equation generating portion 276, obtain coefficient data W for each classification generates _iNormal equation.

The operation of the unit 250C of generation coefficient data as shown in figure 26 is described below.

By the b-side of change over switch 259, will adjust in the middle of the teacher signal ST of time through delay circuit 257, its pixel data y of target location _pBe supplied to subtraction part 274.By the b-side of change over switch 255, will be in the middle of the student signal SS of MPEG2 decoder 253 output, with teacher signal ST the corresponding pixel data x in target location _pBe supplied to subtraction part 274.Subtraction part 274 is from pixel data y then _pIn deduct pixel data x _p, generate difference data.

Select in the circuit 275 in tap,, take out selectively and the target location that the is arranged in teacher signal ST corresponding difference data of multinomial pixel data on every side, as the multinomial data x of prediction tapped according to the difference data DF that from accumulation schedule 256, reads _i(i=1 ..., n).

In normal equation generating apparatus 276, utilize multinomial pixel data x corresponding with each target location among the teacher signal ST, select the prediction tapped that circuit 275 takes out selectively from the subtracting each other data y, subtract each other with this of each target location that data y is corresponding of subtraction part 274 output, tap _iAnd classification sign indicating number CLB corresponding with the pixel data (subtracting each other data y) of each target location, that category classification part 264 generates, for generating, each classification obtains coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

Then, in coefficient data determining section 266, find the solution this normal equation, to obtain the coefficient data W of each classification _i, and with coefficient data W _iBe stored in the coefficient memory 267.

The pixel data of being adjusted the target location among the teacher signal ST of time by 258 pairs in DCT circuit through delay circuit 257 carries out DCT to be handled, to obtain to be supplied to by the a-side of change over switch 259 the DCT coefficient y of subtraction part 274 _pAnd, by 254 pairs in DCT circuit in the middle of the student signal SS of MPEG2 decoder 253 outputs, carry out DCT and handle with the corresponding pixel data in target location the teacher signal ST, to obtain to be supplied to the DCT coefficient x of subtraction part 274 by the a-side of change over switch 255 _pThen, subtraction part 274 is from DCT coefficient y _pIn deduct DCT coefficient x _p, generate difference data.

In normal equation generating portion 276, utilize corresponding with each target location among the teacher signal ST, select the multinomial pixel data xi and the classification sign indicating number CLB corresponding with the pixel data (subtracting each other data) of each target location, that category classification part 264 generates of the prediction tapped that circuit 275 takes out selectively from the subtracting each other data y, subtract each other with this of each target location that data y is corresponding of subtraction part 274 output, tap, for multinomial coefficient data W is obtained in each classification generation _i(i=1 ..., normal equation n) (referring to equation (8)).

Then, coefficient data determining section 266 is found the solution this normal equation, to obtain the coefficient data W of each classification _i, and with coefficient data W _iBe stored in the coefficient memory 267.

Like this, in the unit 250C of as shown in figure 26 generation coefficient data, can generate the coefficient data W of each classification in the coefficient memory 138 among the image signal processing section 110C that will be stored in Figure 25 _i

This coefficient data W _iBe to utilize from the data relevant (pixel data or DCT coefficient), to deduct the multinomial data x that subtracts each other data and select that the data relevant with student signal SS (pixel data or DCT coefficient) obtain as prediction tapped according to difference data (correction data) with teacher signal _iGenerate.Therefore, in image signal processing section 110C as shown in figure 25, utilize this coefficient data W _i, the picture signal Vb that obtains from picture signal Va by estimate equation contains the coding noise that greatly reduces.

Should be noted that the processing among the image signal processing section 110C as shown in figure 25 also can realize with software by for example as shown in Figure 8 the equipment 300 of processing picture signal.

Below with reference to the flow chart of Figure 27, the processing procedure of obtaining picture signal Vb from picture signal Va is described.

At first, in step ST301, this process begins to handle, and, in step ST302, make frame of picture signal Va or field from input 314 input equipments for example.Like this, the pixel data of formation from the picture signal Va of input 314 inputs is stored in the RAM 303 temporarily.Should be noted that,, from this driver 305, read this picture signal Va, be stored among the RAM 303 temporarily so that will constitute the pixel data of this picture signal Va if this picture signal Va is recorded in the hard disk drive 305 in the equipment in advance.

In step ST303, whether all frames of decision diagram image signal Va or the processing of field are finished.Finish if handle, this process is end process in step ST304.Otherwise, forward step ST305 to.

In this step ST305, it is the category classification of unit that this process is carried out with the piece, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indicating image signal Vb.In step ST306, according to the classification sign indicating number CLA that generates in step ST305, this process reads with classification sign indicating number CLA corresponding difference data DF from ROM 302 grades, and it is stored among the RAM 303 temporarily.

Then, in step ST307, whether judgement is read the processing of difference data and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST302.Finish if handle, this process forwards step ST308 to.Otherwise this process turns back to step ST305, transfers to the processing of next target location.

In step ST308, this process according to the picture signal Va that in step ST302, imports, with the pixel data of this picture signal Va the location of pixels pattern information pi of input and the classification sign indicating number CLA that in above-mentioned steps ST305, generates in pairs, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indicating image signal Vb.

In step ST309, this process is obtained and the target location that the is arranged in picture signal Vb corresponding multinomial difference data of multinomial pixel data on every side, as multinomial data x according to the difference data DF that reads in step ST306 _i(i=1 ..., n).

Then, in step ST310, according to the classification sign indicating number CLB that generates in step ST308, this process is read the corresponding coefficient data W with that classification sign indicating number CLB from ROM 302 grades _i, and by estimate equation (referring to equation (1)), with this coefficient data W _iMultinomial pixel data x with prediction tapped _iBe used for generating the corresponding pixel data y of pixel data (DF ') with the target location of picture signal Vb.

In step ST311, in the middle of the multinomial pixel data of the difference data DF ' adding composing images signal Va that this process will generate in step ST310, with picture signal Vb in the corresponding pixel data x in target location _pIn proofread and correct it, to generate the pixel data y of the target location among the picture signal Vb _p

Then, in step ST3 12, whether this process judgement is obtained the processing of the pixel data of picture signal Vb and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST302.Also do not finish if handle, this process turns back to step ST308, transfers to the processing of next target location.On the other hand, if finish, this process turns back to step ST302, transfers to the next frame of received image signal Va or the processing of field.

In this case, if the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, this process is carried out the DCT processing to the picture signal Va that imports in step ST302, so that DCT to be provided coefficient.And, in this case, because the data y that in step ST311, obtains _pBe the DCT coefficient, this process is further carried out the inverse DCT processing, to generate the pixel data of the target location among the picture signal Vb.

Like this, by carrying out to handle the pixel data of received image signal Va, thereby obtain the pixel data of picture signal Vb along the processing of the flow chart of Figure 27.As mentioned above, the picture signal Vb that so handles and obtain is offered output 315, or be supplied to display part 311,, or further it is supplied to it is recorded in hard disk drive 305 on the hard disk so that can show the image that derives from this signal.

In addition, although not shown treatment facility, the processing among the unit 250C of the generation coefficient data of Figure 26 also can realize with software.

Below with reference to the flow chart of Figure 28, the processing procedure that generates coefficient data is described.

At first, in step ST341, this process begins to handle, and, in step ST342, only import a frame or field of teacher signal.In step ST343, whether all frames of judgement teacher signal or the processing of field are finished.Also do not finish if handle, this process forwards step ST344 to, generates student signal from the teacher signal of importing among step ST242.

In step ST345, this process is carried out the category classification with block unit according to the student signal SS that generates in step ST344, with the classification sign indicating number CLA of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST346, according to the classification sign indicating number CLA that generates in step ST345, this process reads the corresponding difference data DF with that classification sign indicating number CLA from ROM 302 grades, and it is stored among the RAM temporarily.

In step ST347, whether judgement is read the processing of difference data and is finished in the All Ranges of the pixel data of the student signal SS that generates in step ST344.Finish if handle, this process forwards step ST348 to.Otherwise this process turns back to step ST345, transfers to the processing of next target location.

In step ST348, this process according to the student signal SS that in step ST344, generates, above do not state, for with the top teacher signal ST that does not state in the corresponding location of pixels pattern information pi that obtains of pixel data of the corresponding student signal SS of the pixel data of target location and the classification sign indicating number CLA that in above-mentioned steps ST345, generates, carrying out with the pixel data is the category classification of unit, with the classification sign indicating number CLB of the classification under the pixel data that generates the target location among the indication teacher signal ST.

Then, in step ST349, this process is obtained and the target location that the is arranged in teacher signal ST corresponding multinomial difference data of multinomial pixel data on every side, as multinomial data x according to the difference data DF that reads in step ST346 _i(i=1 ..., n).

In step ST350, the pixel data x of the target location of this process in the middle of the multinomial pixel data that constitutes teacher signal ST, the teacher signal ST _pIn deduct in the middle of the multinomial pixel data that constitutes student signal SS, with teacher signal ST in the corresponding pixel data x of pixel data of target location _p, generate and subtract each other data.

Then, in step ST351, the judgement of this process is in the All Ranges of frame of the pixel data of the teacher signal of importing in step ST342 or field, and whether study is handled and finished.If study is handled and finished, this process turns back to step ST342, and therefore the next frame or the field of input teacher signal repeat processing same as described above.Otherwise this process forwards step ST352 to.

In this step ST352, the classification sign indicating number CLB that this process utilization generates in step ST348, the multinomial pixel data x of the prediction tapped that in step ST349, obtains _iWith in step ST350, generate with teacher signal ST in the corresponding data y that subtracts each other of pixel data of target location, be generated as each classification and obtain coefficient data W _iNormal equation (referring to equation (8)), turn back to step ST348 then, transfer to the processing of next target location.

Finish if handle in above-mentioned steps ST343, this process utilizes elimination approach etc. to find the solution the normal equation that generates in step ST353 in step ST352, calculates the coefficient data of each classification.In step ST354, this process is kept at the coefficient data of each classification in the memory, and in step ST355 end process.

Like this, by carrying out processing, can utilize the method identical to obtain the coefficient data W of each classification with the method for the unit 250C that is used for generation coefficient data as shown in figure 26 along as shown in figure 28 flow chart _i

If in this case, the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, and this process is carried out the DCT processing to the student signal SS that generates in step ST344, so that DCT to be provided coefficient.And this process is carried out the DCT processing to the teacher signal ST that imports in step ST342, to obtain the DCT coefficient.In step ST350, this process is subtracted each other under the condition of DCT coefficient.

The fifth embodiment of the present invention is described below.

Figure 29 shows the configuration according to the digit broadcasting receiver 100D of the 5th embodiment.In this Figure 29, represent with identical label with those corresponding parts of Figure 16.

Digit broadcasting receiver 100D contains the image signal processing section 110D of the image signal processing section 110A of replacement digit broadcasting receiver 100A as shown in figure 16, and works in the mode identical with digit broadcasting receiver 100A.

The details of image signal processing section 110D will be described below.In this image signal processing section 110D, represent with identical label with those corresponding parts of as shown in figure 16 image signal processing section 110A, and omit detailed description them.

This image signal processing section 110D contains the tap selection circuit 147 as data selection means, be used for according to corresponding from the target location of picture signal Vb, from the data (pixel data or DCT coefficient) of the movable terminal output of change over switch 133, take out the multinomial data relevant with the target location among the picture signal Vb selectively, as the multinomial data x of prediction tapped with output _i(i=1 ..., n).

If the difference data of pixel data is stored in the accumulation schedule 131, and change over switch 133 is connected with its b-side and uses this change over switch 133, and then tap selection circuit 147 takes out the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively.

On the other hand, if the difference data of DCT coefficient is stored in the accumulation schedule 131, and change over switch 133 is connected with its a-side and uses change over switch 133, then tap select circuit 147 takes out selectively with picture signal Vb in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, image signal processing section 110D contains estimation/prediction computing circuit 148, is used to utilize the estimate equation of equation (1), selects the multinomial data x of the prediction tapped that circuit 147 takes out selectively from tap _iAnd with classification sign indicating number CLA coefficient data W corresponding, that from coefficient memory 138, read from category classification part 139 output _iIn calculate with the picture signal Vb that will generate in the corresponding data in target location (pixel data or DCT coefficient).

In addition, image signal processing section 110D contains the addition section 149 as means for correcting, be used for will read from accumulation schedule 131 difference data DF add data (pixel data or DCT coefficient) x corresponding with the target location the picture signal Vb, that export from estimation/prediction computing circuit 148 _pIn, therefore generate data (pixel data or the DCT coefficient) y of the target location among the picture signal Vb _p

Those of other parts of image signal processing section 110D and image signal processing section 110A as shown in figure 16 have identical configuration.

The operation of this image signal processing section 110D is described below.

Select in the circuit 147 in tap,, take out the target location multinomial pixel data on every side that is arranged in picture signal Vb selectively, as the multinomial data x of prediction tapped according to the picture signal Va that is stored in the buffer storage 108 _i(i=1 ..., n).

In category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 148.

In estimation/prediction computing circuit 148, utilize tap to select the multinomial data x of the prediction tapped that circuit 147 takes out selectively _iWith the coefficient data W that from coefficient memory 138, reads _i, according to the estimate equation of above-mentioned equation (1), the corresponding pixel data y of pixel data of the target location among the picture signal Vb that obtains and will generate.

Pixel data (the x of will be corresponding, generating by estimation/prediction computing circuit 148 with the pixel data of target location among the picture signal Vb _p) be supplied to addition section 149.And, will be corresponding, the difference data DF that reads in the middle of the accumulation schedule 131 is supplied to addition section 149 with the target location among the picture signal Vb.

In addition section 149, difference data DF is added pixel data x _pIn, so that proofread and correct them, thus the pixel data y of the target location among the generation picture signal Vb _pSupply this pixel data y by the b-side of change over switch 136 _p, as the output signal of image signal processing section 110D.That is to say this pixel data y _pComposing images signal Vb.

Select in the circuit 147 in tap, according to undertaken by multinomial pixel data picture signal Va DCT handle to generate, by DCT circuit 132 obtain and with picture signal Vb in the corresponding DCT coefficient of pixel data of target location, take out selectively with picture signal Vb in the target location around corresponding a plurality of DCT coefficients, as the multinomial data x of prediction tapped _i(i=1 ..., n).

In category classification part 139, according to picture signal Va, location of pixels pattern information pi and classification sign indicating number CLA, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.It is the category classification of unit (is unit with the DCT coefficient) that this classification sign indicating number CLB derives from the pixel data.CLB is supplied to coefficient memory 138 with this classification sign indicating number, as reading address information.From coefficient memory 138, read corresponding coefficient data W with classification sign indicating number CLB _i, and it is supplied to estimation/prediction computing circuit 148.

In estimation/prediction computing circuit 148, utilize tap to select the multinomial data x of the prediction tapped that circuit 147 takes out selectively _iWith the coefficient data W that from coefficient memory 138, reads _i, according to the estimate equation of above-mentioned equation (1), the corresponding DCT coefficient of the pixel data y of the target location among the picture signal Vb that obtains and will generate.

The DCT coefficient y (x of will be corresponding, generating by estimation/prediction computing circuit 148 with the pixel data of target location among the picture signal Vb _p) be supplied to addition section 149.And, will be corresponding, the difference data DF that reads in the middle of the accumulation schedule 131 is supplied to addition section 149 with the target location among the picture signal Vb.

In addition section 149, difference data DF is added DCT coefficient x _pIn, so that proofread and correct them, the corresponding DCT coefficient of the pixel data y of the target location among generation and the picture signal Vb _pWith this DCT coefficient y _pBe supplied to inverse DCT circuit 135.In this inverse DCT circuit 135, to DCT coefficient y _pCarry out inverse DCT and handle, to obtain pixel data.Like this, export from the pixel data of inverse DCT circuit 135 outputs, as the output signal of image signal processing section 110D by the a-side of change over switch 136.That is to say this pixel data composing images signal Vb.

Like this, in image signal processing section 110D,, during with acquisition picture signal Vb, select the multinomial data x of prediction tapped according to picture signal Va as converted image signal Va _i, and, utilize the data x of prediction tapped _iWith with picture signal Vb in the pixel data of target location under the corresponding coefficient data Wi of second classification, according to estimate equation obtain with picture signal Vb in the corresponding data of pixel data (pixel data or the DCT coefficient) y (x of target location _p), the corresponding difference data of first category (correction data) DF under the pixel data of the target location among utilization and the picture signal Vb proofreaies and correct these data y (x then _p), thereby data (pixel data or the DCT coefficient) y of the target location among the acquisition picture signal Vb _p

Generation is described below is stored in coefficient data W in the coefficient memory 138 among as shown in figure 29 the image signal processing section 110D _iThe unit.Figure 30 shows the configuration of the unit 250D that generates coefficient data.In this Figure 30, represent with identical label with those corresponding parts of Figure 18.

The unit 250D that generates coefficient data contains subtraction part 277, be used for from the target location of teacher signal ST, from data (pixel data or the DCT coefficient) y of the movable end output of change over switch 259 _pIn deduct and difference data DF corresponding from the classification sign indicating number CLA of category classification part 260 output, that read in the middle of the accumulation schedule 256, thereby obtain with teacher signal ST in the corresponding data in target location (pixel data or DCT coefficient) x _p

In addition, the unit 250D of generation coefficient data contains the tap selection circuit 278 as data selection means, be used for according to corresponding with the target location of teacher signal ST, from the data (pixel data or DCT coefficient) of the movable end of change over switch 255 output, take out the multinomial difference data relevant with the target location among the teacher signal ST selectively, as the multinomial data x of prediction tapped with output _i(i=1 ..., n).

This tap selects the tap selection circuit 147 among the image signal processing equipment 110D of circuit 278 and Figure 29 to have identical configuration.If the difference data of pixel data is stored in the accumulation schedule 256, and change over switch 255 with 259 each all be connected and use these change over

switches

255 and 259, the tap target location multinomial pixel data on every side selecting circuit 278 to take out selectively to be arranged in teacher signal ST then with their b-side.

switch

256 and 259 with their a-side, then tap select circuit 278 takes out selectively with teacher signal ST in corresponding a plurality of DCT coefficients on every side of target location.For example, select to be in the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the teacher signal ST and 4 DCT coefficient block adjacent with this DCT coefficient block in the DCT coefficient, as a plurality of DCT coefficients.

In addition, the unit 250D that generates coefficient data contains normal equation generating apparatus 279, be used for utilizing corresponding with each target location of teacher signal ST, subtract each other data y (x from 277 outputs of subtraction part _p), tap selects the multinomial data x of the prediction tapped that circuit 278 takes out selectively _iClassification sign indicating number CLB with from 264 outputs of category classification part is generated as each classification and obtains multinomial coefficient data W _i(i=1 ..., normal equation n) (referring to above-mentioned equation (8)).

In this case, although with an item number according to y and with it the n item number of corresponding prediction tapped according to x _iCombining generates a learning data, but also can generate many learning datas for each classification.So, in normal equation generating portion 279, obtain coefficient data W for each classification generates _iNormal equation.

The operation of the unit 250D of generation coefficient data as shown in figure 30 is described below.

To be supplied to input 251 and encode it with the corresponding teacher signal ST of picture signal Vb, to generate MPEG2 stream by mpeg 2 encoder 252.This MPEG2 stream is supplied to MPEG2 decoder 253.This MPEG2 stream of MPEG2 decoder 253 decodings generates and the corresponding student signal SS of picture signal Va.

By the b-side of change over switch 259, will adjust in the middle of the teacher signal ST of time through delay circuit 257, its pixel data y of target location _pBe supplied to subtraction part 277.The difference data DF that will read from accumulation schedule 256 is supplied to subtraction part 277.Then, in subtraction part 277, from pixel data y _pIn deduct difference data DF so that generate with teacher signal ST in the corresponding pixel data x in target location _p

Select in the circuit 278 in tap,, take out the target location multinomial pixel data on every side that is arranged in teacher signal ST selectively, as the multinomial data x of prediction tapped according to student signal SS from 253 outputs of MPEG2 decoder _i(i=1 ..., n).

In normal equation generating apparatus 279, utilize corresponding with each target location among the teacher signal ST, from the pixel data y (x of subtraction part 277 output _p), select the multinomial pixel data x of the prediction tapped that circuit 278 takes out selectively with, tap corresponding with the corresponding pixel data y in each target location _iAnd classification sign indicating number CLB corresponding with the pixel data (pixel data y) of each target location, that category classification part 264 generates, for generating, each classification obtains multinomial coefficient data W _i(i=1 ..., normal equation n) (referring to equation (8)).

Then, in coefficient data determining section 266, find the solution this normal equation, so that obtain the coefficient data W of each classification _i, and with coefficient data W _iBe stored in the coefficient memory 267.

In DCT circuit 258, the teacher signal ST pixel data central, its target location that allows process delay circuit 257 adjust the time stands DCT to be handled, and, by the a-side of change over switch 259, with the DCT coefficient y that so obtains _pBe supplied to subtraction part 277.And as mentioned above, the difference data DF that will read from accumulation schedule 256 is supplied to subtraction part 277.In subtraction part 277, from DCT coefficient y _pIn deduct difference data DF so that generate DCT coefficient x _p

Select in the circuit 278 in tap, according to undertaken by multinomial pixel data student signal SS DCT handle to generate, by DCT circuit 254 obtain and with teacher signal ST in the corresponding DCT coefficient of pixel data of target location, take out selectively with teacher signal ST in the target location around a plurality of DCT coefficients of tackling mutually, as the multinomial data x of prediction tapped _i(i=1 ..., n).

In normal equation generating portion 279, utilize corresponding with each target location among the teacher signal ST, from the DCT coefficient y (x of subtraction part 277 output _p),, tap corresponding with this DCT coefficient of each target location select the multinomial pixel data x of the prediction tapped that circuit 278 takes out selectively _iAnd classification sign indicating number CLB corresponding with the pixel data (DCT coefficient y) of each target location, that category classification part 264 generates, for generating, each classification obtains multinomial coefficient data W _i(i=1 ..., normal equation n) (referring to equation (8)).

Like this, in the unit 250D of as shown in figure 30 generation coefficient data, can generate the coefficient data W of each classification in the coefficient memory 138 among the image signal processing section 110D that will be stored in Figure 29 _i

This coefficient data W _iBe to utilize from the data relevant (pixel data or DCT coefficient), to deduct the multinomial data x that subtracts each other data and select that difference data (correction data) obtains as prediction tapped according to student signal SS with teacher signal _iGenerate.Therefore, in image signal processing section 110D as shown in figure 29, utilize this coefficient data W _i, the picture signal Vb that obtains from picture signal Va by estimate equation contains the coding noise that greatly reduces.

Should be noted that the processing among the image signal processing section 110D as shown in figure 29 also can realize with software by for example as shown in Figure 8 the equipment 300 of processing picture signal.

Below with reference to the flow chart of Figure 31, the processing procedure of obtaining picture signal Vb from picture signal Va is described.

At first, in step ST401, this process begins to handle, and, in step ST402, make frame of picture signal Va or field from input 314 input equipments for example.Like this, the pixel data of formation from the picture signal Va of input 314 inputs is stored in the RAM 303 temporarily.Should be noted that,, from this driver 305, read this picture signal Va, be stored among the RAM 303 temporarily so that will constitute the pixel data of this picture signal Va if this picture signal Va is recorded in the hard disk drive 305 in the equipment in advance.

In step ST403, whether all frames of decision diagram image signal Va or the processing of field are finished.Finish if handle, this process is end process in step ST404.Otherwise, forward step ST405 to.

In step ST405, this process is according to the picture signal Va that imports in step ST402, and carrying out with the piece is the category classification of unit, the classification sign indicating number CLA of the classification under the pixel data of the target location among the generation indicating image signal Vb.

In addition, in this step ST405, location of pixels pattern information pi and above-mentioned classification sign indicating number CLA that this process is imported in couples according to the picture signal Va that imports in step ST402, with the pixel data of this picture signal Va, carrying out with the pixel data is the category classification of unit, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.

Then, in step ST306, according to the picture signal Va that imports in step ST402, this process is obtained the multinomial pixel data around the target location that is arranged in picture signal Vb, as the multinomial data x of prediction tapped _i(i=1 ..., n).

In step ST407, according to the classification sign indicating number CLB that generates in step ST405, this process is read the corresponding coefficient data W with that classification sign indicating number CLB from ROM 302 grades _iWith by estimate equation (referring to equation (1)), with this coefficient data W _iMultinomial pixel data x with prediction tapped _iBe used for generating the corresponding pixel data y of pixel data (x with the target location of picture signal Vb _p).

Then, in step ST408, according to the classification sign indicating number CLA that generates in step ST405, this process reads the corresponding difference data with that classification sign indicating number CLA in the middle of ROM 302 grades, difference data DF is added in the pixel data y (x that generates among the step ST407 _p) in the middle of proofread and correct it, to generate the pixel data y of the target location among the picture signal Vb _p

Then, in step ST409, whether this process judgement is obtained the processing of the pixel data of picture signal Vb and is finished in the All Ranges of the pixel data of the picture signal Va that imports in step ST402.Also do not finish if handle, this process turns back to step ST405, transfers to the processing of next target location.On the other hand, if finish, this process turns back to step ST402, transfers to the next frame of received image signal Va or the processing of field.

In this case, if the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, this process is carried out the DCT processing to the picture signal Va that imports in step ST402, so that DCT to be provided coefficient.In step ST406, this process obtain with picture signal Vb in the target location around corresponding a plurality of DCT coefficients.For example, obtain and be in and the corresponding DCT coefficient block of data block of the pixel data that comprises the target location among the picture signal Vb and the DCT coefficient in 4 DCT coefficient block adjacent, as a plurality of DCT coefficients with this DCT coefficient block.

In addition, in this case, because the data y (x that in step ST407, generates _p) the data y that the DCT coefficient is provided and in step ST408, obtains _pThe DCT coefficient also is provided, and this process is further to these data y _pCarry out inverse DCT and handle, to generate the pixel data of the target location among the picture signal Vb.

Like this, by carrying out to handle the pixel data of received image signal Va, thereby obtain the pixel data of picture signal Vb along the processing of the flow chart of Figure 31.As mentioned above, the picture signal Vb that so handles and obtain is offered output 315, or be supplied to display part 311,, or further it is supplied to it is recorded in hard disk drive 305 on the hard disk so that can show the image that derives from this signal.

In addition, although not shown treatment facility, the processing among the unit 250D of the generation coefficient data of Figure 30 also can realize with software.

Below with reference to the flow chart of Figure 32, the processing procedure that generates coefficient data is described.

At first, in step ST441, this process begins to handle, and, in step ST442, only import a frame or field of teacher signal.In step ST443, whether all frames of judgement teacher signal or the processing of field are finished.Also do not finish if handle, this process forwards step ST444 to, generates student signal from the teacher signal of importing among step ST442.

In step ST445, this process is carried out the category classification with block unit according to the student signal SS that generates in step ST444, with the classification sign indicating number CLA of the classification under the pixel data that generates the target location among the indication teacher signal ST.

In addition, in this step ST445, location of pixels pattern information pi and above-mentioned classification sign indicating number CLA that this process obtains in couples according to the picture signal Va that generates in step ST444, with the pixel data of this picture signal Va, carrying out with the pixel data is the category classification of unit, the classification sign indicating number CLB of the classification under the pixel data of the target location among the generation indicating image signal Vb.

Then, in step ST446, the pixel data y of the target location of this process in the middle of the multinomial pixel data that constitutes teacher signal ST, the teacher signal ST _pIn deduct difference data corresponding with the classification sign indicating number CLA that in step ST445, generates, that from ROM etc., read, generate and subtract each other data x _p

Then, in step ST447, according to the student signal SS that generates in step ST444, this process is obtained the multinomial pixel data around the target location that is arranged in teacher signal ST, as the multinomial data x of prediction tapped _i(i=1 ..., n).

Then, at step ST448, the judgement of this process is in the All Ranges of frame of the pixel data of the teacher signal of importing in step ST442 or field, and whether study is handled and finished.If study is handled and finished, this process turns back to step ST442, and therefore the next frame or the field of input teacher signal repeat processing same as described above.Otherwise this process forwards step ST449 to.

In this step ST449, the classification sign indicating number CLB that this process utilization generates in step ST445, the data x of the prediction tapped that in step ST447, obtains _iWith in step ST446, generate with teacher signal ST in the corresponding data y (x that subtracts each other of pixel data of target location _p), be generated as each classification and obtain coefficient data W _iNormal equation (referring to equation (8)), turn back to step ST445 then, transfer to the processing of next target location.

Finish if handle in above-mentioned steps ST443, this process utilizes elimination approach etc. to find the solution the normal equation that generates in step ST450 in step ST449, calculates the coefficient data of each classification.In step ST451, this process is kept at the coefficient data of each classification in the memory, and in step ST455 end process.

Like this, by carrying out processing, can utilize the method identical to obtain the coefficient data W of each classification with the method for the unit 250D that is used for generation coefficient data as shown in figure 30 along shown in figure 32 flow chart _i

If in this case, the difference data DF that is stored in ROM 302 grades is a difference data of handling the DCT coefficient that obtains by DCT, and this process is carried out the DCT processing to the student signal SS that generates in step ST444, so that DCT to be provided coefficient.And this process is carried out the DCT processing to the teacher signal ST that imports in step ST442, to obtain the DCT coefficient.In step ST446, this process is subtracted each other under the condition of DCT coefficient.

Although among superincumbent first to the 5th embodiment, difference data DF be stored in image signal processing section 110A-110D accumulation schedule 131 each and generate in each of accumulation schedule 256 of unit 250A-250D of coefficient data, but, except storage difference data DF, pixel data or DCT coefficient itself also can be stored in the accumulation schedule 131 of image signal processing section 110B and 110C and generate the unit 250B of coefficient data and the accumulation schedule 256 of 250C in.In this case, the data y that replaces from as shown in Figure 6 the unit 210 of generation difference data for example deducts the difference data df that data x obtains, and can utilize data y acquisition itself to be stored in pixel data or DCT coefficient in

accumulation schedule

131 and 256.

Although second to the 5th top embodiment management stands the MPEG2 stream that DCT handles,, the present invention can be applied to manage the embodiment of any other coded message digital signal similarly.And DCT handles the coding that can be related to any other orthogonal transform such as wavelet transform or discrete sine transform and replaces.

Although second to the 5th top embodiment is to be that the situation of picture signal is described at information signal,, the present invention is not limited to this.For example, also can be applied to information signal similarly be the situation of audio signal for example in the present invention.

According to the present invention, according to the classification under the pixel data of the target location in the input information input output information signal, so that utilize with the institute corresponding correction data of the classification that detects proofread and correct the multinomial information data that constitutes the input information signal central, and the output information signal in target location information corresponding data, so that obtain the information data of the target location in this output information signal, thereby the coding noise (coding distortion) of the information signal that obtains by decoding and coding message digit signal is reduced greatly.

In addition, according to the present invention, the corresponding correction data of first category under the target location in utilization and the output information signal is proofreaied and correct in the middle of the multinomial information data that constitutes the input information signal, with the target location information corresponding data in this output information signal, simultaneously, multinomial information data around the target location that is arranged in the output information signal that utilization is selected according to the control information data and with the target location of this output information signal under the corresponding coefficient data of second classification, generate the information data of the target location in this output information signal according to estimate equation, thereby the coding noise (coding distortion) of the information signal that obtains by decoding and coding message digit signal is reduced greatly.

Industrial Applicability A

As mentioned above, the present invention can reduce the coding noise (coding distortion) by the information signal of decoding and coding message digit signal acquisition widely, therefore, can reasonably well be applied to digit broadcasting receiver etc.

Claims

1. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and second information signal is corresponding;

Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, in the middle of the multinomial information data that constitutes first information signal with second information signal in target location information corresponding data carry out treatment for correcting;

The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding;

Data selection means is used for the information data according to correction, selects to be arranged in the target location multinomial information data on every side of second information signal; With

The information data generating apparatus is used for the multinomial information data that coefficient data that the usage factor data generating device generates and data selection means are selected, and generates the information data of the target location in second information signal according to estimate equation,

Wherein, described correction data generating apparatus further comprises:

Decoding device is used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal;

The classification checkout gear is used at least according to the student signal from decoding device output, detects the classification under the information data of the target location in the teacher signal,

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

Wherein y represents the information data of the target location in second information signal, W _iThe coefficient data that expression is produced by the coefficient data generating apparatus, and x _iExpression is by a plurality of items of the information data of data selection means selection, and n represents item number.

2. the equipment of processing and information signal according to claim 1, wherein, the first category and second classification are mutually the same.

3. the equipment of processing and information signal according to claim 1, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

4. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the pixel data of the target location in described correction data and second picture signal is corresponding;

Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, in the middle of the multinomial pixel data that constitutes first picture signal with second picture signal in the corresponding pixel data in target location carry out treatment for correcting;

The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in described coefficient data and second picture signal is corresponding;

Data selection means is used for the pixel data according to correction, selects to be arranged in the target location multinomial pixel data on every side of second picture signal; With

The pixel data generating apparatus is used for the multinomial pixel data that coefficient data that the usage factor data generating device generates and data selection means are selected, and generates the pixel data of the target location in second picture signal according to estimate equation,

Wherein, described correction data generating apparatus further comprises:

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

5. image display comprises:

The picture signal input unit is used to make first picture signal input of being made up of multinomial pixel data, and described first picture signal obtains by the decoding and coding data image signal;

Image signal processing apparatus is used for converting first picture signal by the input of picture signal input unit to be made up of multinomial pixel data second picture signal and output second picture signal; With

Image display device is used for image is presented at its image-display units, and this image derives from from second picture signal of image signal processing apparatus output,

Wherein, image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

6. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

First step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and second information signal is corresponding;

Second step is used for utilizing the correction data that generates at first step, in the middle of the multinomial information data that constitutes first information signal with second information signal in target location information corresponding data carry out treatment for correcting;

Third step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding;

The 4th step is used for the information data that basis is proofreaied and correct in second step, selects to be arranged in the target location multinomial information data on every side of second information signal; With

The 5th step is used for utilizing in coefficient data that third step generates and the multinomial information data of selecting in the 4th step, generates the information data of the target location in second information signal according to estimate equation,

Wherein, described first step further comprises:

First substep is used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal;

Second substep is used at least the student signal that obtains according at first substep, detects the classification under the information data of the target location in the teacher signal;

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

7. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

Orthogonal converter is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal;

Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting;

The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and second information signal the target location around corresponding a plurality of coefficient of frequencies;

The coefficient of frequency generating apparatus, be used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With

The orthogonal inverse transform device is used for carrying out orthogonal inverse transform by the coefficient of frequency that the coefficient of frequency generating apparatus is generated, and obtains the information data of the target location in second information signal,

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

8. the equipment of processing and information signal according to claim 7, wherein, the first category and second classification are mutually the same.

9. the equipment of processing and information signal according to claim 7, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

10. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

Orthogonal converter is used in the middle of the multinomial pixel data that constitutes first picture signal, carry out orthogonal transform with corresponding pixel data around the target location of second picture signal;

The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and second picture signal the target location around corresponding a plurality of coefficient of frequencies;

The coefficient of frequency generating apparatus, be used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding coefficient of frequency of pixel data of the target location in the estimate equation generation and second picture signal; With

The orthogonal inverse transform device is used for carrying out orthogonal inverse transform by the coefficient of frequency that the coefficient of frequency generating apparatus is generated, and obtains the pixel data of the target location in second picture signal,

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

11. an image display comprises:

Image display device is used for image is presented at its image-display units, and described image derives from from second picture signal of image signal processing apparatus output,

Wherein, this image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

12. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Second step is used in the middle of the multinomial information data that constitutes first information signal, carry out orthogonal transform with information corresponding data around the target location of second information signal;

Third step is used for utilizing the correction data that generates at first step, and the coefficient of frequency that obtains in second step is carried out treatment for correcting;

The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding;

The 5th step is used for according to the coefficient of frequency of proofreading and correct at third step, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The 6th step is used for utilizing at the coefficient data that the 4th step generates and a plurality of coefficient of frequencies of selecting in the 5th step, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With

The 7th step is used for obtaining the information data of the target location in second information signal by the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform,

Wherein, described first step further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

13. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

First data selection means is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal;

Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial information data;

The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding; With

The information data generating apparatus, be used for coefficient data, the multinomial information data of first data selection means selection and the multinomial correction data that second data selection means is selected that the usage factor data generating device generates, generate the information data of the target location in second information signal according to estimate equation

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

14. the equipment of processing and information signal according to claim 13, wherein, the first category and second classification are mutually the same.

15. the equipment of processing and information signal according to claim 13, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

16. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

First data selection means is used for according to first picture signal, selects to be arranged in the target location multinomial pixel data on every side of second picture signal;

Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial pixel data;

The coefficient data generating apparatus is used for generating the coefficient data that is used in estimate equation, and second classification under the pixel data of the target location in described coefficient data and second picture signal is corresponding; With

The pixel data generating apparatus, be used for coefficient data, the multinomial pixel data of first data selection means selection and the multinomial correction data that second data selection means is selected that the usage factor data generating device generates, generate the pixel data of the target location in second picture signal according to estimate equation

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

17. an image display comprises:

Wherein, this image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

18. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Second step is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal;

Third step is used for the correction data that basis generates at first step, selects and the corresponding multinomial correction data of selecting in second step of multinomial information data;

The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding; With

The 5th step is used for utilizing in the coefficient data that the 4th step generates, the multinomial information data of selecting in second step and the multinomial correction data selected in third step, generates the information data of the target location in second information signal according to estimate equation,

Wherein, described first step further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

19. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The correction data choice device is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with the coefficient of frequency choice device of a plurality of coefficient of frequencies;

The coefficient of frequency generating apparatus, be used for coefficient data, a plurality of coefficient of frequencies of coefficient of frequency choice device selection and the multinomial correction data that the correction data choice device is selected that the usage factor data generating device generates, according to the corresponding coefficient of frequency of information data of the target location in the estimate equation generation and second information signal; With

The orthogonal inverse transform device is used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, obtaining the information data of the target location in second information signal,

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

20. the equipment of processing and information signal according to claim 19, wherein, the first category and second classification are mutually the same.

21. the equipment of processing and information signal according to claim 19, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

22. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

The coefficient of frequency choice device is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second picture signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The coefficient of frequency generating apparatus, be used for coefficient data, a plurality of coefficient of frequencies of coefficient of frequency choice device selection and the multinomial correction data that the correction data choice device is selected that the usage factor data generating device generates, according to the corresponding coefficient of frequency of pixel data of the target location in the estimate equation generation and second picture signal; With

The orthogonal inverse transform device is used for the coefficient of frequency that the coefficient of frequency generating apparatus generates is carried out orthogonal inverse transform, obtaining the pixel data of the target location in second picture signal,

Wherein, described correction data generating apparatus further comprises:

The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output.

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

23. an image display comprises:

Wherein, this image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

24. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used for according to the coefficient of frequency that obtains in second step, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The 4th step is used for the correction data that basis generates at first step, selects and the corresponding multinomial correction data of selecting in third step of a plurality of coefficient of frequencies;

The 5th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in coefficient data and second information signal is corresponding;

The 6th step, be used for utilizing in the coefficient data that the 5th step generates, a plurality of coefficient of frequencies of in third step, selecting and the multinomial correction data in the 4th step, selected, according to estimate equation generate with second information signal in the corresponding coefficient of frequency of information data of target location; With

The 7th step is used for the coefficient of frequency that generates in the 6th step is carried out orthogonal inverse transform, obtaining the information data of the target location in second information signal,

Wherein, described first step further comprises:

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

25. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

The first correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and second information signal is corresponding;

Data selection means is used for the correction data according to the generation of the first correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second information signal;

The second correction data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal; With

The information data generating apparatus, be used to utilize the correction data of second correction data generating apparatus generation, to constituting in the middle of the multinomial information data of first information signal, carrying out treatment for correcting with the target location information corresponding data in second information signal, to generate the information data of the target location in second information signal

Wherein, the described first correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

26. the equipment of processing and information signal according to claim 25, wherein, the first category and second classification are mutually the same.

27. the equipment of processing and information signal according to claim 25, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

28. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

The first correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the pixel data of the target location in described correction data and second picture signal is corresponding;

Data selection means is used for the correction data according to the generation of the first correction data generating apparatus, corresponding multinomial correction data around the target location in the selection and second picture signal;

The second correction data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of pixel data of the target location in the estimate equation generation and second picture signal; With

The pixel data generating apparatus, be used to utilize the correction data of second correction data generating apparatus generation, to constituting in the middle of the multinomial pixel data of first picture signal, carrying out treatment for correcting with the corresponding pixel data in target location in second picture signal, to generate the pixel data of the target location in second picture signal

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

29. an image display comprises:

This image signal processing apparatus comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

30. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Second step is used for the correction data that basis generates at first step, corresponding multinomial correction data around the target location in the selection and second information signal;

The 4th step is used for utilizing in coefficient data that third step generates and the multinomial correction data of selecting in second step, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal; With

The 5th step, be used for utilizing the correction data that generates in the 4th step, to constituting in the middle of the multinomial information data of first information signal, carrying out treatment for correcting with the target location information corresponding data in second information signal, to generate the information data of the target location in second information signal

Wherein, described first step further comprises:

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

31. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

The second correction data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of information data of the target location in the estimate equation generation and second information signal;

The coefficient of frequency generating apparatus, be used for correction data by utilizing the second correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting, the corresponding coefficient of frequency of information data of the target location in the generation and second information signal; With

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

32. the equipment of processing and information signal according to claim 31, wherein, the first category and second classification are mutually the same.

33. the equipment of processing and information signal according to claim 31, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

34. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

The second correction data generating apparatus, be used for the coefficient data of usage factor data generating device generation and the multinomial correction data that data selection means is selected, according to the corresponding correction data of pixel data of the target location in the estimate equation generation and second picture signal;

The coefficient of frequency generating apparatus, be used for correction data by utilizing the second correction data generating apparatus to generate, the coefficient of frequency that orthogonal converter is obtained carries out treatment for correcting, the corresponding coefficient of frequency of pixel data of the target location in the generation and second picture signal; With

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

35. an image display comprises:

Wherein, this image signal processing apparatus comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

36. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used for the correction data that basis generates at first step, corresponding multinomial correction data around the target location in the selection and second information signal;

The 4th step is used for generating and is used in the such coefficient data of estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding;

The 5th step is used for the multinomial correction data utilizing the coefficient data that generates in the 4th step and select in third step, according to estimate equation generate with second information signal in the corresponding correction data of information data of target location;

The 6th step is used for the correction data that generates in the 5th step by utilizing, and the coefficient of frequency that obtains in second step is carried out treatment for correcting, generate with second information signal in the corresponding coefficient of frequency of information data of target location; With

Wherein, described first step further comprises:

And wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

37. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

Data selection means is used for according to first information signal, selects to be arranged in the target location multinomial information data on every side of second information signal;

Data generating device is used for the coefficient data of usage factor data generating device generation and the multinomial information data that data selection means is selected, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal; With

The information data generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, generates the information data of the target location in second information signal,

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

38. according to the equipment of the described processing and information signal of claim 37, wherein, the first category and second classification are mutually the same.

39. according to the equipment of the described processing and information signal of claim 37, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

40. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

Data selection means is used for according to first picture signal, selects to be arranged in the target location multinomial pixel data on every side of second picture signal;

Data generating device is used for the coefficient data of usage factor data generating device generation and the multinomial pixel data that data selection means is selected, according to the corresponding data of pixel data of the target location in the estimate equation generation and second picture signal; With

The pixel data generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, generates the pixel data of the target location in second picture signal,

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

41. an image display comprises:

Wherein, this image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

42. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

The 4th step is used for utilizing in coefficient data that third step generates and the multinomial information data of selecting in second step, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal; With

The 5th step is used for the correction data that generates at first step by utilizing, and the data that generate in the 4th step are carried out treatment for correcting, generates the information data of the target location in second information signal,

Wherein, described first step further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

43. one kind will be become the equipment of the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this equipment comprises:

Data generating device is used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding data of information data of the target location in the estimate equation generation and second information signal;

The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, the corresponding coefficient of frequency of information data of the target location in the generation and second information signal; With

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

44. according to the equipment of the described processing and information signal of claim 43, wherein, the first category and second classification are mutually the same.

45. according to the equipment of the described processing and information signal of claim 43, wherein, the category classification relevant with second classification is to make the meticulousr and category classification that obtains of the category classification relevant with described first category.

46. one kind will be converted to the equipment of the processing picture signal of second picture signal of being made up of multinomial pixel data by first picture signal that multinomial pixel data is formed, described first picture signal obtains by the decoding and coding data image signal, and this equipment comprises:

Data generating device is used for the coefficient data of usage factor data generating device generation and a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, according to the corresponding data of pixel data of the target location in the estimate equation generation and second picture signal;

The coefficient of frequency generating apparatus is used for the correction data by utilizing the correction data generating apparatus to generate, and the data that the data generating apparatus generates are carried out treatment for correcting, the corresponding coefficient of frequency of pixel data of the target location in the generation and second picture signal; With

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

47. an image display comprises:

Wherein, this image signal processing apparatus comprises:

Wherein, described correction data generating apparatus further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

48. one kind will be become the method for the processing and information signal of second information signal of being made up of multinomial information data by the first information conversion of signals that multinomial information data is formed, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used for the coefficient of frequency that obtains according to orthogonal converter, select each with second information signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The 4th step is used for generating the coefficient data that is used in estimate equation, and second classification under the information data of the target location in described coefficient data and second information signal is corresponding;

The 5th step is used for a plurality of coefficient of frequencies of utilizing the coefficient data that generates in the 4th step and selecting in third step, according to estimate equation generate with second information signal in the corresponding data of information data of target location;

The 6th step is used for the correction data that generates at first step by utilizing, and the data that generate in the 5th step are carried out treatment for correcting, generate with second information signal in the corresponding coefficient of frequency of information data of target location; With

Wherein, described first step further comprises:

Wherein said estimate equation is

y = Σ_{i = 1}^{n} W_{i} \cdot x_{i},

49. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

The correction data generating apparatus is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and the teacher signal is corresponding;

Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate is to constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out treatment for correcting with the target location information corresponding data the teacher signal;

Data selection means is used for the information data according to correction, selects to be arranged in the target location multinomial information data on every side of teacher signal; With

The coefficient data generating apparatus is used for utilizing second classification under the information data of target location of teacher signal, multinomial information data that data selection means is selected and the information data of the target location in the teacher signal, generates the coefficient data of each classification.

50. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

First step is used to decode by the message digit signal of encoding and the corresponding teacher signal of second information signal obtains, to obtain and the corresponding student signal of first information signal;

Second step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and the teacher signal is corresponding;

Third step is used for utilizing the correction data that generates in second step, in the middle of the multinomial information data that is formed in the student signal that obtains in the first step, with teacher signal in target location information corresponding data carry out treatment for correcting;

The 4th step is used for the information data that basis is proofreaied and correct at third step, selects to be arranged in the target location multinomial information data on every side of teacher signal; With

The 5th step is used for utilizing the information data of the target location in second classification, the multinomial information data of selecting and the teacher signal under the information data of target location of teacher signal in the 4th step, generate the coefficient data of each classification.

51. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

First orthogonal converter is used for constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out orthogonal transform with the target location information corresponding data of teacher signal, to obtain the first frequency coefficient;

Means for correcting, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that first orthogonal converter is obtained carries out treatment for correcting;

The coefficient of frequency choice device is used for the coefficient of frequency according to correction, select in each and the teacher signal the target location around corresponding a plurality of coefficient of frequencies;

Second orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With

The coefficient data generating apparatus, the second frequency coefficient that is used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected and second orthogonal converter to obtain generates the coefficient data of each classification.

52. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used in the middle of the multinomial information data to the formation student signal that generates at first step, carries out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the first frequency coefficient;

The 4th step is used for utilizing the correction data that generates in second step, and the coefficient of frequency that obtains in third step is carried out treatment for correcting;

The 5th step is used for according to the coefficient of frequency of proofreading and correct in the 4th step, select each with teacher signal in corresponding a plurality of coefficient of frequencies on every side of target location;

The 6th step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the second frequency coefficient; With

The 7th step is used for utilizing second classification, a plurality of coefficient of frequencies selected under the information data of target location of teacher signal and the second frequency coefficient that obtains in the 6th step in the 5th step, generate the coefficient data of each classification.

53. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

First data selection means is used for according to the student signal from decoding device output, selects to be arranged in the target location multinomial information data on every side of teacher signal;

Second data selection means is used for the correction data according to the generation of correction data generating apparatus, selects the corresponding multinomial correction data of selecting with first data selection means of multinomial information data; With

The coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial information data that first data selection means is selected, multinomial correction data that second data selection means is selected and the information data of the target location in the teacher signal, generate the coefficient data of each classification.

54. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used for the student signal that basis obtains at first step, selects to be arranged in the target location multinomial information data on every side of teacher signal;

The 4th step is used for the correction data that basis generates in second step, selects and the corresponding multinomial correction data of selecting in third step of multinomial information data; With

The 5th step, be used for utilizing the information data of the target location in second classification, the multinomial information data of in third step, selecting, the multinomial correction data of in the 4th step, selecting and the teacher signal under the information data of target location of teacher signal, generate the coefficient data of each classification.

55. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

The coefficient of frequency choice device is used for the coefficient of frequency according to the acquisition of first orthogonal converter, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal;

The coefficient data generating apparatus, the second frequency coefficient that is used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected, multinomial correction data that the correction data choice device is selected and second orthogonal converter to obtain generates the coefficient data of each classification.

56. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used in the middle of the multinomial information data to the formation student signal that obtains at first step, carries out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the first frequency coefficient;

The 4th step is used for the coefficient of frequency that basis obtains at third step, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal;

The 5th step is used for the correction data that basis generates in second step, selects and the corresponding multinomial correction data of selecting in the 4th step of a plurality of coefficient of frequencies;

The 7th step, be used for utilizing second classification, a plurality of coefficient of frequencies of in the 4th step, selecting, multinomial correction data of in the 5th step, selecting under the information data of target location of teacher signal and the second frequency coefficient that in the 6th step, obtains, generate the coefficient data of each classification.

57. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

Substracting unit, be used to utilize in the middle of the multinomial information data that constitutes student signal, with target location information corresponding data, the information data of the target location in the teacher signal is subtracted each other processing;

Data selection means is used for the correction data according to the generation of correction data generating apparatus, corresponding multinomial correction data around the target location in selection and the teacher signal; With

The coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, multinomial correction data that data selection means is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

58. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Second step, be used to utilize in the middle of the multinomial information data that constitutes student signal, with target location information corresponding data, the information data of the target location in the teacher signal is subtracted each other processing;

Third step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and the teacher signal is corresponding;

The 4th step is used for the correction data that basis generates at third step, corresponding multinomial correction data around the target location in selection and the teacher signal; With

The 5th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 4th step, selecting and with teacher signal in the corresponding data that in second step, obtain of information data of target location, generate the coefficient data of each classification.

59. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

First orthogonal converter is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient;

Second orthogonal converter, be used in the middle of the multinomial information data that constitutes student signal, carry out orthogonal transform with target location information corresponding data, to obtain the second frequency coefficient;

Substracting unit, the second frequency coefficient that is used to utilize second orthogonal converter to obtain, the first frequency coefficient that first orthogonal converter is obtained subtracts each other processing;

60. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Second step is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient;

Third step, be used in the middle of the multinomial information data that constitutes student signal, carry out orthogonal transform with target location information corresponding data, to obtain the second frequency coefficient;

The 4th step is used for utilizing the second frequency coefficient that obtains at third step, and the first frequency coefficient that obtains in second step is subtracted each other processing;

The 5th step is used to generate the correction data of correction coding noise, and the first category under the information data of the target location in described correction data and the teacher signal is corresponding;

The 6th step is used for the correction data that basis generates in the 5th step, corresponding multinomial correction data around the target location in selection and the teacher signal; With

The 7th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 6th step, selecting and with teacher signal in the corresponding data that in the 4th step, obtain of information data of target location, generate the coefficient data of each classification.

61. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

Substracting unit, the correction data that is used to utilize the correction data generating apparatus to generate is subtracted each other processing to the information data of the target location in the teacher signal;

Data selection means is used for according to the student signal from decoding device output, selects to be arranged in the target location multinomial information data on every side of teacher signal; With

62. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

Third step is used for utilizing the correction data that generates in second step, and the information data of the target location in the teacher signal is subtracted each other processing;

The 4th step is used for the student signal that basis obtains at first step, selects to be arranged in the target location multinomial information data on every side of teacher signal; With

The 5th step, be used for utilizing second classification under the information data of target location of teacher signal, the multinomial correction data of in the 4th step, selecting and with teacher signal in the corresponding data that in third step, obtain of information data of target location, generate the coefficient data of each classification.

63. unit that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this unit comprises:

Substracting unit, the correction data that is used to utilize the correction data generating apparatus to generate, the coefficient of frequency that first orthogonal converter is obtained subtracts each other processing;

Second orthogonal converter is used for constituting in the middle of the multinomial information data of the student signal of decoding device output, carrying out orthogonal transform with the target location information corresponding data of teacher signal, to obtain the second frequency coefficient;

The coefficient of frequency choice device is used for the coefficient of frequency according to the acquisition of second orthogonal converter, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; With

The coefficient data generating apparatus, be used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies that the coefficient of frequency choice device is selected and with teacher signal in the dateout of the corresponding substracting unit of information data of target location, generate the coefficient data of each classification.

64. method that generates the coefficient data of estimate equation, described estimate equation be used in will form by multinomial information data first information conversion of signals when becoming second information signal of forming by multinomial information data, described first information signal obtains by decoding and coding message digit signal, and this method comprises:

The 4th step is used for utilizing the correction data that obtains at third step, and the coefficient of frequency that obtains in second step is subtracted each other processing;

The 5th step, be used in the middle of the multinomial information data that is formed in the student signal that first step obtains, carry out orthogonal transform with the target location information corresponding data in the teacher signal, to obtain the second frequency coefficient;

The 6th step is used for the coefficient of frequency that basis obtains in the 5th step, corresponding a plurality of coefficient of frequencies around the target location in selection and the teacher signal; With

The 7th step, be used for utilizing second classification under the information data of target location of teacher signal, a plurality of coefficient of frequencies of in the 6th step, selecting and with teacher signal in the corresponding data that in the 4th step, obtain of information data of target location, generate the coefficient data of each classification.

65. according to the equipment of claim 1,4,7,10,13,16,19,22,25,28,31,34,37,40,43, one of 46 described processing and information signals, wherein, described correction data generating apparatus comprises:

The classification checkout gear, being used at least, basis detects the affiliated classification of information data of the target location in the teacher signal from the student signal of decoding device output;

Substracting unit is used to utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, and the information data of the target location in the teacher signal is subtracted each other processing; With

Arithmetic unit is used for the classification that detects according to the classification checkout gear, for each classification is asked the mean value of the dateout of substracting unit, to obtain the correction data of each classification.

66. equipment according to the described processing and information signal of claim 65, wherein, the classification checkout gear is according to the student signal from decoding device output, selection is arranged in the target location multinomial information data on every side of teacher signal, so that according to selected multinomial information data, detect the affiliated classification of information data of the target location in the teacher signal.

67. according to claim 1,4,7,10,13,16,19,22,25,28,31,34,37,40,43, one of 46 described equipment, wherein, described correction data generating apparatus comprises:

68. according to the method for claim 6,12,18,24,30,36,42, one of 48 described processing and information signals, described first step comprises:

The 3rd substep is used to utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, and the information data of the target location in the teacher signal is subtracted each other processing; With

The 4th step is used for according to the classification that detects in second step, for each classification is asked the mean value of the data that obtain in third step, to obtain the correction data of each classification.

69. according to the equipment of claim 1,4,7,10,13,16,19,22,25,28,31,34,37,40,43, one of 46 described processing and information signals, wherein, described correction data generating apparatus comprises:

Second orthogonal converter is used for to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient;

Substracting unit, the second frequency coefficient that is used to utilize second orthogonal converter to obtain, the first frequency coefficient that first orthogonal converter is obtained subtracts each other processing; With

70. equipment according to the processing and information signal of claim 69, wherein, the classification checkout gear is according to the student signal from decoding device output, selection is arranged in the target location multinomial information data on every side of teacher signal, so that according to selected multinomial information data, detect the affiliated classification of information data of the target location in the teacher signal.

71. according to the method for claim 6,12,18,24,30,36,42, one of 48 described processing and information signals, wherein, described first step comprises:

The 3rd substep is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient;

The 4th substep is used for to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient;

The 5th substep, the second frequency coefficient that is used to utilize the 4th substep to obtain, the first frequency coefficient that the 3rd substep is obtained subtracts each other processing; With

The 6th substep is used for the classification that detects according to second substep, for each classification is asked the mean value of the data that obtain in the 5th substep, to obtain the correction data of each classification.

72. according to the unit of the coefficient data of claim 49,51,53,55,57,59,61, one of 63 described generation estimate equations, wherein, described correction data generating apparatus comprises:

The classification checkout gear is used at least according to described student signal, detects the classification under the information data of the target location in the teacher signal;

73. unit according to the coefficient data of the described generation estimate equation of claim 72, wherein, the classification checkout gear is according to the student signal from decoding device output, selection is arranged in the target location multinomial information data on every side of teacher signal, so that according to selected multinomial information data, detect the affiliated classification of information data of the target location in the teacher signal.

74. according to the method for the coefficient data of claim 50,52,54,56,58,60,62, one of 64 described generation estimate equations, the described step that is used to generate the correction data of correction data coding noise comprises:

First substep is used at least according to described student signal, detects the classification under the information data of the target location in the teacher signal;

Second substep is used to utilize in the middle of the multinomial information data that constitutes student signal and target location information corresponding data, and the information data of the target location in the teacher signal is subtracted each other processing; With

The 3rd substep is used for according to the classification that detects at first substep, for each classification is asked the mean value of the data that obtain in second substep, to obtain the correction data of each classification.

75. according to the unit of the coefficient data of claim 49,51,53,55,57,59,61, one of 63 described generation estimate equations, wherein, described correction data generating apparatus comprises:

76. unit according to the coefficient data of the described generation estimate equation of claim 75, wherein, the classification checkout gear is according to the student signal from decoding device output, selection is arranged in the target location multinomial information data on every side of teacher signal, so that according to selected multinomial information data, detect the affiliated classification of information data of the target location in the teacher signal.

77. according to the method for the coefficient data of claim 50,52,54,56,58,60,62, one of 64 described generation estimate equations, wherein, the described step that is used to generate the correction data of correction data coding noise comprises:

Second substep is used for the information data of the target location of teacher signal is carried out orthogonal transform, to obtain the first frequency coefficient;

The 3rd substep is used for to carrying out orthogonal transform with target location information corresponding data in the middle of the multinomial information data that constitutes student signal, to obtain the second frequency coefficient;

The 4th substep, the second frequency coefficient that is used to utilize the 3rd substep to obtain, the first frequency coefficient that second substep is obtained subtracts each other processing; With

The 5th substep is used for the classification that detects according to first substep, for each classification is asked the mean value of the data that obtain in the 4th substep, to obtain the correction data of each classification.