CN100388792C - Image processing method of increasing information encoding-decoding efficiency - Google Patents

Image processing method of increasing information encoding-decoding efficiency Download PDF

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CN100388792C
CN100388792C CNB2006100759046A CN200610075904A CN100388792C CN 100388792 C CN100388792 C CN 100388792C CN B2006100759046 A CNB2006100759046 A CN B2006100759046A CN 200610075904 A CN200610075904 A CN 200610075904A CN 100388792 C CN100388792 C CN 100388792C
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李博航
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Abstract

The present invention provides an image processing method of increasing information encoding-decoding efficiency, which can extract data and decompose the data into a plurality of low resolution panorama images with equal row distance before the compressed encoding processing of the high resolution video frequency images, and the present invention can make use of the visual sense similarity of the low resolution panorama images. The utility model can select a low resolution panorama image as reference image data and can calculate optimized related coefficients via a correlative analytical method. The present invention only needs to process the low resolution reference image data and the related coefficients of the rest image data in the process of subsequently compressing coding, and the present invention can greatly reduce the information amount of data compression coding, increase coding efficiency and increase video frequency information transmission efficiency. The present invention can be used in various image compression coding and decoding standards, the attached figure is about a transmitting end image processing process and a receiving end image processing process.

Description

A kind of image processing method that improves information encoding-decoding efficiency
Technical field
The present invention relates to a kind of image information processing method that is used for coding and decoding video, especially by original image information being decomposed into amount of information and the raising information processing efficiency of a plurality of low resolution similar image information to reduce the follow-up coding/decoding; Belong to image/video coding/decoding technology field.
Background technology
Video coding and decoding technology is to realize high-quality, storage of low-cost multi-medium data and the key of transmitting efficiently.The image coding and decoding international standard of current trend all is based on so a kind of coding theory, the coding method that the motion compensation, discrete cosine transform and the quantification that are based on the piece coupling of employing combines.International standards such as MPEG-1, MPEG-2 that International Standards Organization/International Electrotechnical Commissio first United Technologies group releases and MPEG-4 are typically arranged.The AVS national standard of China's promulgation also is to adopt similar hybrid video coding strategy: modules such as prediction, conversion, quantification and comentropy coding.
The method of these video encoding standard process informations all is that original image is divided into a certain size block of information, the piece as 8 * 8,16 * 16 piece etc. by the space.Do not have similitude between these block of informations, even therefore adopt the infra-frame prediction mode, its information prediction result can be not desirable.Can not effectively reduce frame internal information amount of redundancy.
Along with the raising that people require for picture quality, the resolution of image also improves constantly, and the corresponding information processing capacity that increases information encoding-decoding, has reduced every frame information processing speed, has promoted the requirement to transmission inromation bandwidth.
But in fact high resolution image frame internal information amount of redundancy is bigger.In image acquisition process, we have such result: obtain image with the IMAQ of low resolution and obtain image with IMAQ with high-resolution similitude is arranged.To obtain image with the IMAQ of high-resolution equally and have similitude by the image of the low resolution of extracted at equal intervals picture point information formation and the image of original high resolution.And also has similitude between the image of IMAQ acquisition image with high-resolution by a plurality of low resolution of extracted at equal intervals picture point information formation.These characteristics show that high-resolution image information inside is actually bigger information redundancy amount.Can handle by correlation with low-resolution image information and rebuild high-resolution image information.
Summary of the invention
Technical problem to be solved by this invention is: propose a kind ofly high resolution video image is carried out compressed encoding to be decomposed into a plurality of low resolution panoramic pictures before handling, and after handling as follows, can reduce amount of information, the raising code efficiency of carrying out data compression coding greatly and promote the video information efficiency of transmission.
Technical scheme of the present invention comprises
Step 1: in information transmitting terminal, at first will need the high resolution video image information handled to adopt uniformly-spaced to fetch data to be decomposed into a plurality of low resolution panoramic pictures, and have visual similarity between the low-resolution image by ranks.So-called visual similarity is meant that the low resolution panoramic picture is from visually being the low resolution image of original image panorama.
Step 2: in information transmitting terminal, be the reference image with a width of cloth low-resolution image wherein, by obtain with correlation analysis (linear or non-linear) remaining low-resolution image respectively with the coefficient correlation of reference image.
Step 3: in information transmitting terminal, with reference image and coefficient correlation as the initial data of carrying out compressed encoding.
Step 4:, be reference image and coefficient correlation by the data after the decoding decompression at information receiving end.
Step 5:, calculate a plurality of low-resolution images according to reference image and coefficient correlation at information receiving end.
Step 6:, a plurality of low-resolution images are reconfigured formation one panel height image in different resolution at information receiving end.
In the described step 1, be by ranks periodic sampling data to the processing of original image, the low-resolution image that makes generation all is the low resolution panoramic picture of original image.Has visual similarity between the low-resolution image.
In the described step 2, select as the method for the low-resolution image of reference image unqualifiedly, method for selecting is to be benchmark with the low-resolution image that comprises first data of original image usually.Also can specify other low-resolution images is the reference image, but the offset information of reference picture need be included in the processing of follow-up encoding compression.
In the described step 2, adopt correlation analysis to calculate the optimum coefficient correlation of all the other each low resolution image datas and reference view data.If adopt the Linear correlative analysis method, all the other each low resolution image datas can only be represented with two coefficients.Be to improve the precision of coefficient, can be with coefficient of two byte representations, one of them byte representation coefficient integer part, another one byte representation fractional part.
In the described step 3, the view data of carrying out the processing of successive image compressed encoding is the coefficient correlation of reference image with all the other low resolution image datas of reflection that calculate of low resolution.Depositing in proper order of reference image and coefficient correlation can be made an appointment.
In the described step 4, at information receiving end, separating the view data that encoding process obtains by image decompressor is the coefficient correlation of reference image and all the other low resolution image datas of reflection of low resolution.Reference image and coefficient correlation are to deposit by the order of depositing of making an appointment.
In the described step 5,, the coefficient correlation of the reference image of the low resolution that obtains in the step 4) and all the other low resolution image datas of reflection is calculated the image of all the other a plurality of low resolution at information receiving end.
In the described step 6,, the image of the reference image of the low resolution that obtains in the step 5) and all the other a plurality of low resolution reconfigured by the mode of making an appointment form a panel height image in different resolution at information receiving end.Thereby effectively reproduce the original image information of transmitting terminal.
Before carrying out encoding compression processing, high resolution image data is formed the similar image of a plurality of low resolution by taking a sample at interval, adopt the correlation optimal algorithm to calculate the coefficient correlation of these low resolution similar images then.The coefficient correlation information that in information subsequent treatment and transmission, only needs the similar image of the image of a low resolution and other low resolution.Greatly reduce the data volume of message transmission, thereby improve image encoding compression efficiency and efficiency of transmission.
Adopt the coefficient correlation of the similar image of a plurality of low resolution of correlation calculations, amount of calculation is few, and with respect to the image encoding and decoding technique that does not adopt this technology, computational efficiency is higher.
Description of drawings
Fig. 1 is that the present invention presses the panoramic picture method example schematic diagram that ranks periodic sampling data generate 4 low resolution 4 * 4 sizes with the view data of one 8 * 8 size.
Fig. 2 be the present invention with the panoramic picture of 4 low resolution 4 * 4 sizes by the selection reference reference picture, calculate linearly dependent coefficient, deposit the method example schematic diagram of reference image and linear coefficient by about definite sequence.
Fig. 3 is the flow chart of technical solution of the present invention in information transmitting terminal
Fig. 4 technical solution of the present invention is at the flow chart of information receiving end
Embodiment
Below in conjunction with accompanying drawing and exemplifying embodiment technical scheme of the present invention is further described:
Fig. 1 is that the present invention presses the panoramic picture method example schematic diagram that ranks periodic sampling data generate 4 low resolution 4 * 4 sizes with the view data of one 8 * 8 size, supposition high-resolution video raw image data is 8 * 8 data array among the figure, adopts interlacing to generate the low resolution image data of 44 * 4 sizes every row extracted at equal intervals data.The low resolution image data of these 44 * 4 sizes has comprised the total data of former 8 * 8 images.Such data pick-up method is that the low resolution image data of 44 * 4 sizes has very strong visual similarity.And wherein the low resolution image data of any one 4 * 4 size all is to extract from original image uniformly, also has visual similarity with original image.
Fig. 2 be the present invention with the panoramic picture of 4 low resolution 4 * 4 sizes by the selection reference reference picture, calculate linearly dependent coefficient, deposit the method example schematic diagram of reference image and linear coefficient by about definite sequence.In the drawings, the panoramic picture of our selected first low resolution 4 * 4 sizes calculates the panoramic picture of all the other low resolution 4 * 4 sizes and optimum linearity coefficient correlation S1, S2, S3, S4, S5, the S6 of reference image respectively then as the reference image.Reference array of image data and linearly dependent coefficient S1, S2, S3, S4, S5, S6 are deposited new data array 6 * 4 sizes of formation by the order of depositing of making an appointment.This 6 * 4 size data array is the primary data information (pdi) that image carries out the subsequent compression coding.Obviously the amount of information that needs compressed encoding to handle reduces greatly.
Fig. 3 is the flow chart of technical solution of the present invention in information transmitting terminal.Show among the figure in information transmitting terminal, carry out compressed encoding again after high resolution image data is finished by following treatment step.
Step 1: in information transmitting terminal, at first will need the high resolution video image information handled to adopt uniformly-spaced to fetch data to be decomposed into a plurality of low resolution panoramic pictures, and have visual similarity between the low-resolution image by ranks.So-called visual similarity is meant that the low resolution panoramic picture is from visually being the low resolution image of original image panorama.
Step 2: in information transmitting terminal, be the reference image with a width of cloth low-resolution image wherein, by obtain with correlation analysis (linear or non-linear) remaining low-resolution image respectively with the coefficient correlation of reference image.
Step 3: in information transmitting terminal, with reference image and coefficient correlation as the initial data of carrying out compressed encoding.
Fig. 4 technical solution of the present invention is at the flow chart of information receiving end.Show among the figure at information receiving end, the data message that will obtain through the decoding decompression is the coefficient correlation of reference image data information and all the other low resolution image datas, could generate a panel height resolution video image data message after finishing by following treatment step.
Step 1:, be reference image and coefficient correlation by the data after the decoding decompression at information receiving end.
Step 2:, calculate a plurality of low-resolution images according to reference image and coefficient correlation at information receiving end.
Step 3:, a plurality of low-resolution images are reconfigured formation one panel height image in different resolution at information receiving end.
Because decomposing by method of the present invention between the low-resolution image of generation, high resolution image data exists bigger visual similarity, corresponding view data has the better linearity correlation, therefore in information Compression and transmission, can only need to handle and transmit the data of a reference image and the coefficient correlation of other low resolution image datas gets final product, thereby reduce the information data amount of subsequent treatment greatly, make Information Compression, encoding and decoding and efficiency of transmission higher.
It should be noted last that: above exemplifying embodiment is the unrestricted technical scheme of the present invention in order to explanation only, although the present invention is had been described in detail with reference to above-mentioned example, those skilled in the art is to be understood that: still can make amendment or replacement on an equal basis to the present invention, and replace any modification or the part that do not break away from the spirit and scope of the present invention, and it all should be encompassed in the middle of the claim scope of the present invention.

Claims (9)

1. an image processing method that improves information encoding-decoding efficiency is characterized in that, before image information is carried out compressed encoding, follows following steps:
1) in information transmitting terminal, the high resolution video image information that at first will need to handle adopts the low-resolution image that generates several equal resolution by the ranks periodic sampling;
2) in information transmitting terminal, with a width of cloth low-resolution image wherein is the reference image, by obtain with correlation analysis remaining low-resolution image respectively with the coefficient correlation of reference image, wherein said correlation analysis is linearity or nonlinear method;
3) in information transmitting terminal, with described reference image and described coefficient correlation as the initial data of carrying out compressed encoding;
4), be reference image and coefficient correlation by the data after the decoding decompression at information receiving end;
5), calculate several low-resolution images according to described reference image and described coefficient correlation at information receiving end;
6), described several low-resolution images are reconfigured formation one panel height image in different resolution at information receiving end.
2. a kind of image processing method that improves information encoding-decoding efficiency as claimed in claim 1 is characterized in that:
In the described step 1), processing to original image is by ranks periodic sampling data, the low-resolution image that makes generation all is the low resolution panoramic picture of original image, have visual similarity between the low-resolution image, so-called visual similarity is meant that the low resolution panoramic picture is from visually being the low resolution image of original image panorama.
3. a kind of image processing method that improves information encoding-decoding efficiency as claimed in claim 1 is characterized in that:
Described step 2) in, selection is unqualified as the method for the low-resolution image of reference image, method for selecting is to be benchmark or to specify other low-resolution images be the reference image with the low-resolution image that comprises first data of original image, but the offset information of reference picture need be included in the processing of follow-up encoding compression.
4. as each described a kind of image processing method that improves information encoding-decoding efficiency in the claim 1,2,3, it is characterized in that:
Described step 2) in, adopt correlation analysis to calculate the optimum coefficient correlation of all the other each low resolution image datas and reference view data, if employing linear correlation, then all the other each low resolution image datas are only represented with two coefficients, for improving the precision of coefficient, with coefficient of two byte representations, one of them byte representation coefficient integer part, another one byte representation fractional part.
5. as each described a kind of image processing method that improves information encoding-decoding efficiency in the claim 1,2,3, it is characterized in that:
In the described step 3), the view data of carrying out the processing of successive image compressed encoding is the coefficient correlation of reference image with all the other low resolution image datas of reflection that calculate of low resolution, and the order of depositing of described reference image and described coefficient correlation is made an appointment.
6. a kind of image processing method that improves information encoding-decoding efficiency as claimed in claim 1 is characterized in that:
In the described step 4), at information receiving end, separating the view data that encoding process obtains by image decompressor is the coefficient correlation of reference image and all the other low resolution image datas of reflection of low resolution, and described reference image and described coefficient correlation are to deposit by the order of depositing of making an appointment.
7. as claim 1 or 6 described a kind of image processing methods that improve information encoding-decoding efficiency, it is characterized in that:
In the described step 5),, the reference image of the low resolution that obtains in the step 4) and the coefficient correlation of all the other low resolution image datas of reflection are carried out the image that correlation calculations obtains all the other a plurality of low resolution at information receiving end.
8. as claim 1 or 6 described a kind of image processing methods that improve information encoding-decoding efficiency, it is characterized in that:
In the described step 6),, the image of the reference image of the low resolution that obtains in the step 5) and all the other a plurality of low resolution reconfigured by the mode of making an appointment form a panel height image in different resolution at information receiving end.
9. a kind of image processing method that improves information encoding-decoding efficiency as claimed in claim 1 is characterized in that:
Before carrying out encoding compression processing, high resolution image data is formed the similar image of a plurality of low resolution by taking a sample at interval, adopt the correlation optimal algorithm to calculate the coefficient correlation of the similar image of these low resolution then, in information subsequent treatment and transmission, only need the coefficient correlation information of the similar image of the image of a low resolution and other low resolution.
CNB2006100759046A 2006-04-24 2006-04-24 Image processing method of increasing information encoding-decoding efficiency Expired - Fee Related CN100388792C (en)

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JP4886583B2 (en) * 2007-04-26 2012-02-29 株式会社東芝 Image enlargement apparatus and method
CN101521823B (en) * 2009-03-27 2010-12-01 北京航空航天大学 Spatial correlation panoramic data compressing method
CN101765012B (en) * 2010-01-20 2012-05-23 李博航 Image information processing method
CN101771877B (en) * 2010-01-20 2012-07-25 李博航 Information processing method
CN102006477A (en) * 2010-11-25 2011-04-06 中兴通讯股份有限公司 Image transmission method and system
CN102821277B (en) * 2012-07-20 2015-02-11 西安空间无线电技术研究所 Data compression method and data compression system based on image set

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