CN107454469B - A kind of method of video image processing and device - Google Patents

A kind of method of video image processing and device Download PDF

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CN107454469B
CN107454469B CN201710605681.8A CN201710605681A CN107454469B CN 107454469 B CN107454469 B CN 107454469B CN 201710605681 A CN201710605681 A CN 201710605681A CN 107454469 B CN107454469 B CN 107454469B
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component
low level
level depth
depth image
image
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CN107454469A (en
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朱洪波
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Beijing QIYI Century Science and Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/4402Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
    • H04N21/440218Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display by transcoding between formats or standards, e.g. from MPEG-2 to MPEG-4
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44016Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving splicing one content stream with another content stream, e.g. for substituting a video clip

Abstract

The embodiment of the invention provides a kind of method of video image processing and devices, wherein this method comprises: for each component of each pixel in high locating depth image, the value range of the corresponding decomposed component of setting component;Determine multiple groups decomposed component;Precision operations are carried out to every group of decomposed component in the multiple groups decomposed component determined for component, obtain multiple Decomposition Accuracies;Select the smallest one group of decomposed component of Decomposition Accuracy;Multiple low level depth images are constituted according to the selected decomposed component of each component for each pixel in each high locating depth image;Multiple low level depth images are synthesized into low level depth video, and low level depth video is encoded.The embodiment of the present invention selects the smallest decomposed component of Decomposition Accuracy, to control in high locating depth video conversion process precision, the distortion factor reduces after conversion, in the case where being equally decoded using low level depth Video Decoder, the loss of significance that conversion can be reduced keeps decoded image and original image closer.

Description

A kind of method of video image processing and device
Technical field
The present invention relates to technical field of video image processing, more particularly to a kind of method of video image processing and device.
Background technique
Each pixel in video image is usually by 3 representation in components, RGB component or YUV component etc., at present most In common video, the digit of each component is usually 8, and in high locating depth video, the digit of each component may be up to 10 Position, 12 or 14 etc., therefore the gradation that high locating depth video can be shown more enriches, dynamic range is also more greatly.
For the ease of the transimission and storage of video, usually low level depth video can be converted by high locating depth video and compiled Code, common method are as follows: for each image in high locating depth video, low pass filtered is done to the component of each pixel of the image first Wave obtains the modulation image of the image, the component of each pixel of the modulation image be in high locating depth video same position face The average value of component near field;Then the component of high locating depth image and modulation image is divided by, obtains low level depth component, in turn Image namely low level depth image represented by obtaining by these components, and then low level depth image and modulation image can be encoded Enter code stream, to carry out subsequent transimission and storage.
In practical applications, due to the shortage of high locating depth Video Decoder, equipment exports all images in video It need to be low level depth image, could be decoded by low level depth Video Decoder, and modulation image in the prior art is as high The average value image of locating depth image, digit is still very high, so usually before being transmitted, also needing to be quantified as low level figure deeply Picture.However, being quantified to modulation image, image can be made after the decoding, generated between original high locating depth image larger Difference, to have lost the precision of image.
Summary of the invention
In view of the above problems, it proposes the embodiment of the present invention and overcomes the above problem or at least partly in order to provide one kind A kind of method of video image processing and device to solve the above problems.
According to the first aspect of the invention, a kind of method of video image processing is provided, which comprises
For each component of each pixel in high locating depth image, the value model of the corresponding decomposed component of the component is set It encloses;Wherein, the high locating depth image is the video image that component digit is greater than 8;
From the value range of the decomposed component set for the component, multiple groups decomposed component is determined;
Precision operations are carried out to every group of decomposed component in the multiple groups decomposed component determined for the component, are obtained multiple Decomposition Accuracy;
From the multiple Decomposition Accuracies obtained for the component, the smallest one group of decomposed component of Decomposition Accuracy is selected;
It is constituted according to the selected decomposed component of each component for each pixel in each high locating depth image Multiple low level depth images;
The multiple low level depth image is synthesized into low level depth video, and the low level depth video is encoded.
Optionally, every group of decomposed component in the described pair of multiple groups decomposed component determined for the component carries out precision fortune It calculates, obtains multiple Decomposition Accuracies, comprising:
According to every group of decomposed component, the first the setting constant, second in the multiple groups decomposed component determined for the component Constant and the component are set, determines multiple Decomposition Accuracies.
Optionally, the value range of the corresponding decomposed component of the setting component, comprising:
By carrying out extracting operation and rounding operation to the component, standard component is obtained;According to the standard component and Multiple thirds set constant, set the value range of the corresponding decomposed component of the component;Alternatively,
Preset value range is set as to the value range of the corresponding decomposed component of the component.
It is optionally, described that the multiple low level depth image is synthesized into low level depth video, comprising:
Multiple low level depth images are divided into first group of low level depth image and second group of low level depth image;
By in first group of low level depth image each low level depth image with it is each in second group of low level depth image The mutually interspersed arrangement of a low level depth image, obtains low level depth video.
It is optionally, described that the multiple low level depth image is synthesized into low level depth video, comprising:
Multiple low level depth images are divided into first group of low level depth image and second group of low level depth image;
By in first group of low level depth image each low level depth image with it is every in second group of low level depth image A low level depth image or so splicing, obtains multiple stitching images;By the multiple stitching image sequential, obtains low level and regard deeply Frequently.
According to the second aspect of the invention, a kind of video image processing device is provided, described device includes:
Setting module sets corresponding point of the component for each component for each pixel in high locating depth image Solve the value range of component;Wherein, the high locating depth image is the video image that component digit is greater than 8;
Determining module is divided for from the value range of the decomposed component set for the component, determining that multiple groups are decomposed Amount;
Computing module, for carrying out precision to every group of decomposed component in the multiple groups decomposed component determined for the component Operation obtains multiple Decomposition Accuracies;
Selecting module, for selecting Decomposition Accuracy the smallest by one from the multiple Decomposition Accuracies obtained for the component Group decomposed component;
Module is constituted, for selected according to each component for each pixel in each high locating depth image Decomposed component constitutes multiple low level depth images;
Synthesis module, for the multiple low level depth image to be synthesized low level depth video, and to the low level depth video It is encoded.
Optionally, the computing module includes:
Determine submodule, for according in the multiple groups decomposed component determined for the component every group of decomposed component, the One setting constant, the second setting constant and the component, determine multiple Decomposition Accuracies.
Optionally, the setting module includes:
First setting submodule, for obtaining standard component by carrying out extracting operation and rounding operation to the component; Constant is set according to the standard component and multiple thirds, sets the value range of the corresponding decomposed component of the component;Alternatively,
Second setting submodule, for preset value range to be set as to the value of the corresponding decomposed component of the component Range.
Optionally, the synthesis module includes:
First divides submodule, for multiple low level depth images to be divided into first group of low level depth image and second group of low level Deep image;
First order submodule, for by each low level depth image and described second in first group of low level depth image The mutually interspersed arrangement of each low level depth image in group low level depth image, obtains low level depth video.
Optionally, the synthesis module includes:
Second divides submodule, for multiple low level depth images to be divided into first group of low level depth image and second group of low level Deep image;
Splice submodule, for each low level depth image in first group of low level depth image is low with described second group Each low level depth image in locating depth image or so splicing, obtains multiple stitching images;
Second order submodule, for obtaining low level depth video for the multiple stitching image sequential.
The embodiment of the present invention includes following advantages: for each component of each pixel in high locating depth image, by needle The every group of decomposed component in multiple groups decomposed component determined to the component carries out precision operations, obtains multiple Decomposition Accuracies, and from In the multiple Decomposition Accuracies obtained for the component, the smallest one group of decomposed component of Decomposition Accuracy is selected, so as in a high position In deep video conversion process, the precision of image is controlled, and then is converted into the smallest low level depth video of distortion level, because This, the present invention can be dropped in the case where being equally decoded using low level depth Video Decoder to high locating depth video Less precision is lost when the conversion of position, keeps decoded image and original image closer.
Detailed description of the invention
Fig. 1 is a kind of flow chart of method of video image processing provided in an embodiment of the present invention;
Fig. 2 is the flow chart of another method of video image processing provided in an embodiment of the present invention;
Fig. 3 is a kind of block diagram of video image processing device provided in an embodiment of the present invention;
Fig. 4 A is the block diagram of another video image processing device provided in an embodiment of the present invention;
Fig. 4 B is a kind of block diagram of computing module provided in an embodiment of the present invention;
Fig. 4 C is a kind of block diagram of setting module provided in an embodiment of the present invention;
Fig. 4 D is a kind of block diagram of synthesis module provided in an embodiment of the present invention;
Fig. 4 E is the block diagram of another synthesis module provided in an embodiment of the present invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real Applying mode, the present invention is described in further detail.
Before the embodiment of the present application is described in detail, first the application scenarios of the embodiment of the present application are introduced.
In the prior art, it will usually low level depth image and modulation image are coded into code stream, and then regarded when needing to play When frequency, low level depth image and modulation image can be decoded and be played according to the decoding process of setting, to keep low level deep Video composed by image and modulation image can preferably restore the high locating depth video of script.In general, in order to reduce modulation The digit of image can quantify modulation image, for example, modulation image can be each for 10 bit images namely modulation image Each component of pixel is 10 bits, does division by each component to each pixel of modulation image, can make Modulation image demotion, for example each component is divided by 22, each component of each pixel of obtained modulation image is 8 two System number, so that the modulation image after demotion is 8 bit images, this process is to quantify.However, the dynamic model of 10 modulation images It encloses for 0-210, that is to say and the light and shade variation of modulation image is divided into 210A level, and the dynamic range of 8 modulation images is only 0-28, that is to say and the light and shade variation of modulation image is only divided into 28A level, therefore, the light and shade of the modulation image obtained after quantization Discrimination is high not as good as the modulation image before quantization, so quantizing process can reduce the precision of modulation image, and then reduces by low level The precision of video composed by deep image and modulation image.
Embodiment one
Referring to Fig.1, a kind of flow chart of method of video image processing is shown, this method can specifically include following step It is rapid:
Step 101: for each component of each pixel in high locating depth image, setting taking for the corresponding decomposed component of component It is worth range;Wherein, Gao Weishen image is the video image that component digit is greater than 8.
It should be noted that high locating depth image can be greater than 8 video images, such as high locating depth image for component digit It can be 10 bit images, 12 bit images or 14 bit images.
Step 102: from the value range of the decomposed component set for component, determining multiple groups decomposed component.
For example, the RGB component of pixel A can be (R=97, G=728, B=in one 10 high locating depth images It 1023) can be, [247,255] for the value range that the B component of pixel A 1023 is set, what is determined from [247,255] is more Group decomposed component can for (247,247), (247,248), (247,249) ..., (251,254), (251,255), (252,247), (252,248) ..., (255,253), (255,254), (255,255), that is to say can be by the B of pixel A Component 1023 is decomposed into two components, for example can be decomposed into 247 and 249, can also be decomposed into 252 and 248, can also decompose It is 255 and 255 etc..
Step 103: precision operations being carried out to every group of decomposed component in the multiple groups decomposed component determined for component, are obtained Multiple Decomposition Accuracies.
Multiple low level depth images that original high locating depth image obtain after demotion conversion can be by being reduced to height Locating depth image, however, the process of demotion conversion can make the high locating depth before the high locating depth image obtained after reduction and demotion conversion Some differences are generated between image, and Decomposition Accuracy is just intended to indicate that the high locating depth image after reduction and the height before demotion conversion Difference between locating depth image.
Wherein, the one group of decomposed component in multiple groups decomposed component determined for the B component of pixel A in high locating depth image (x, y), the substantially process of precision operations are as follows: the component value x in this group of decomposed component is multiplied with y, obtains seniority top digit point Then amount is converted the seniority top digit component to the high consistent component of locating depth image digit by displacement, component after conversion and Difference in high locating depth image between the B component of pixel A is the Decomposition Accuracy of decomposed component (x, y).It should be noted that this Inventive embodiments are not only restricted to the operation mode of this kind of Decomposition Accuracy.
Step 104: from the multiple Decomposition Accuracies obtained for component, selecting the smallest one group of decomposition of Decomposition Accuracy point Amount.
Wherein it is possible to which the multiple Decomposition Accuracies obtained for the component are compared, and select wherein the smallest point Precision is solved, then can determine the corresponding decomposed component of minimal decomposition precision.Further, for one-component, every calculating , can be by the Decomposition Accuracy and calculated Decomposition Accuracy is compared before out when the corresponding Decomposition Accuracy of the component, And that lesser Decomposition Accuracy in the two is left, after repeatedly calculating and comparing, until finally leaving the smallest decomposition Precision, and determine the corresponding decomposed component of minimal decomposition precision.It should be noted that the embodiment of the present invention is not limited to this kind Determine the mode of minimal decomposition precision.
In addition, step 101 can also be accomplished in the following manner to 104, comprising: an initial precision is set first, than Such as 2560000, it then determines the value range of the corresponding decomposed component for component, first group is determined from the value range Decomposed component can obtain first Decomposition Accuracy by precision operations, then by first Decomposition Accuracy and initial precision It is compared, is set as initial precision for numerical value in the two is lesser, then substitutes into second group of decomposed component again and obtain second Second Decomposition Accuracy is compared by Decomposition Accuracy with initial precision at this time, will the lesser setting of numerical value in the two at this time For initial precision, the process is recycled later, until the substitution of whole decomposed components is finished, finally exports all decomposition essences The smallest Decomposition Accuracy in degree, and export corresponding that group of decomposed component of minimal decomposition precision.
Step 105: according to the selected decomposed component of each component for each pixel in each high locating depth image Constitute multiple low level depth images.
According to the selected decomposed component of each component for each pixel in each high locating depth image, video image Processing equipment may be constructed multiple low level depth images, and the digit of each component of low level depth image namely each pixel is 8 Image, each low level depth image in multiple low level depth image corresponds to one high locating depth image, and so far, realizing will be high Conversion of the locating depth image to low level depth image.
Step 106: multiple low level depth images being synthesized into low level depth video, and low level depth video is encoded.
It can be encoded after obtaining low level depth video, it is low when needing to play in order to subsequent transimission and storage When locating depth video, it can be decoded, it, can be low by two when being two low level depth images by high locating depth picture breakdown In locating depth image in same position pixel R component R1 and R2 divided by 8, that is to say respectively by R1 and R2 corresponding two into Number processed moves to right 3 two R components for obtaining integer part as 5 digits, and the R component of the two 5 digits is multiplied to obtain one 10 R components also carry out G component and B component that the pixel of same position is in two low level depth images identical Processing, available one 10 G components and one 10 B components.To in every two low level depth image each be in phase Pixel with position carries out identical processing, so as to obtain multiple 10 RGB components, according to multiple 10 RGB Component just can be restored with higher precision before high locating depth video, reduce the distortion factor.
The embodiment of the present invention includes following advantages: for each component of each pixel in high locating depth image, by needle The every group of decomposed component in multiple groups decomposed component determined to the component carries out precision operations, obtains multiple Decomposition Accuracies, and from In the multiple Decomposition Accuracies obtained for the component, the smallest one group of decomposed component of Decomposition Accuracy is selected, so as in a high position In deep video conversion process, the precision of image is controlled, and then is converted into the smallest low level depth video of distortion level, because This, the present invention can be dropped in the case where being equally decoded using low level depth Video Decoder to high locating depth video Less precision is lost when the conversion of position, keeps decoded image and original image closer.
Embodiment two
Referring to Fig. 2, the flow chart of another method of video image processing is shown, this method can specifically include following step It is rapid:
Step 201: for each component of each pixel in high locating depth image, setting the corresponding decomposed component of the component Value range;Wherein, Gao Weishen image is the video image that component digit is greater than 8.
Wherein, the implementation of the value range of the corresponding decomposed component of setting component can be following two kinds of realization sides Formula:
The first setting means: by carrying out extracting operation and rounding operation to the component, standard component is obtained;According to mark Quasi-component and multiple thirds set constant, set the value range of the corresponding decomposed component of the component.
Specifically, video processing equipment can set the corresponding decomposition of component by following formula (2-1) and formula (2-2) The value range of component, comprising:
Valinner=(int) (sqrt (inum*1.0) * 8+0.5) (2-1)
Valmin=Max (valinner-9,0), valmax=Min (valinner+9,255) (2-2)
Wherein, valinner is standard component, and (int) () is rounding operation symbol, and sqrt () is sqrt operator, Inum is component, and valmin is that component inum corresponds to the minimum value in the value range of decomposed component, and Max () is to be maximized Operator, valmax are that component inum corresponds to the maximum value in the value range of decomposed component, and Min () is to be minimized operation Symbol, 1.0,8,0.5,9,0 and 255 set constant for multiple thirds.
Process represented by above-mentioned formula (2-1) and formula (2-2) are as follows: component inum is carried out extracting operation and be rounded to transport It calculates, available standard component that is to say the product that component inum is accurately decomposed into two identical numerical value, this numerical value is Standard component;Then according to the standard component, the maximum value of the value range of the corresponding decomposed component of component inum can be determined And minimum value.
It should be noted that when constant 1.0 is used to carry out extracting operation to component inum, being obtained in above-mentioned formula Numerical value comprising fractional part, the numerical value after evolution include that fractional part can make subsequent accuracy computation result more accurate;Often Amount 8 can be the constant that equipment development personnel set according to the digit of high locating depth image, for example high locating depth video is 10, The constant can be that 8, Gao Weishen video is 12, which can be that 4, Gao Weishen video is 14, which can be 2; Constant 0.5 is used to that numerical value to round up when rounding operation;Constant 9 is equipment development personnel according to the need for reducing subsequent arithmetic amount It asks by constant set by many experiments;Constant 0 and 255 is the dynamic range minimum value and maximum value of 8 low level depth images, For the boundary value of value range to be limited in the dynamic range of 8 bit images, thus guarantee the decomposed component of subsequent determination Digit is no more than 8.
For example, the RGB component of pixel A can be (97,728,1023) in one 10 high locating depth images, wherein 97 It can be the R component of pixel A, 728 can be the G component of pixel A, and 1023 can be the B component of pixel A, for high locating depth figure The B component 1023 of pixel A, obtains 1023 corresponding points of B component of pixel A by above-mentioned formula (2-1) and formula (2-2) as in The value range for solving component can be [247,255].
In the first setting means, the value model that constant sets the corresponding decomposed component of component is set by multiple thirds It encloses, can suitably reduce operand when processing video image in the case where guaranteeing the accuracy of subsequent arithmetic.
Second of setting means: preset value range is set as to the value range of the corresponding decomposed component of the component.
In order to simplify calculating process when handling video image, video image processing apparatus can also be directly prior by one The value range determined is set as the value range of the corresponding decomposed component of the component.For example, preset value range can be with For [0,255], which can be preset in video image processing apparatus in advance, when needs really corresponding point of component of setting When solving the value range of component, [0,255] this value range directly can be set as the corresponding decomposed component of the component Value range.
For example, for the B component 1023 of pixel A in one 10 high locating depth images, it can be directly right by B component 1023 The value range for the decomposed component answered is set as [0,255]
It should also be noted that, high locating depth image can be greater than 8 video images, such as high locating depth figure for component digit As that can be 10 bit images, 12 bit images or 14 bit images.
Step 202: from the value range of the decomposed component set for the component, determining multiple groups decomposed component.
For example, the RGB component of pixel A can be (R=97, G=728, B=in one 10 high locating depth images It 1023) can be, [247,255] for the value range that the B component of pixel A 1023 is set, what is determined from [247,255] is more Group decomposed component can for (247,247), (247,248), (247,249) ..., (251,254), (251,255), (252,247), (252,248) ..., (255,253), (255,254), (255,255), that is to say can be by the B of pixel A Component 1023 is decomposed into two components, for example can be decomposed into 247 and 249, can also be decomposed into 252 and 248, can also decompose It is 255 and 255 etc..
Include 2 component values in every group of decomposed component in above-mentioned example, that is to say that by high locating depth picture breakdown be two High locating depth picture breakdown in practical applications, can be not only two low level depth images, may be used also by a low level depth image certainly High locating depth picture breakdown for multiple low level depth images, for example can be decomposed into 3 low level depth images, 4 low level depth images Etc..For example, when needing high locating depth picture breakdown is 3 low level depth images, in one 10 high locating depth images Pixel A B component 1023, can be determined from the value range [247,255] of B component 1023 (247,247,247), (247,247,248), (247,247,249) ..., (251,247,254), (251,247,255), (251,248,247), (251,248,248) ..., (255,255,253), (255,255,254), the multiple groups decomposed component such as (255,255,255). The RGB component of other pixels in R component and G component and high locating depth image for pixel A determines the side of decomposed component Formula is also same.
Step 203: precision operations being carried out to every group of decomposed component in the multiple groups decomposed component determined for the component, are obtained To multiple Decomposition Accuracies.
Wherein, the implementation of this step can be with are as follows: according to every component in the multiple groups decomposed component determined for component Component, the first setting constant, the second setting constant and component are solved, determines multiple Decomposition Accuracies by following formula (2-3).
Errcur=AbS [((ii*jj+a) > > b)-inum];(ii, jj ∈ [valmin, valmax]) (2-3)
Wherein, errcur is Decomposition Accuracy, and AbS is the operator that takes absolute value, and ii and jj are to determine for component inum Any component solution component in multiple decomposed components, a are the first setting constant, and b is the second setting constant, and > > is shift right operation Symbol, such as the expression of x > > 6 move to right 6 to binary number corresponding to x, and [valmin, valmax] is to determine in step 202 Value range.Wherein, the first setting constant can be the constant that equipment development personnel set according to many experiments result, than If the first setting constant can be 32, the second setting constant can be set for equipment development personnel according to the digit of high locating depth video A constant, for example high locating depth video is 10, and it is 12 that the second setting constant, which can be 6, Gao Weishen video, and second sets Constant can be that 4, Gao Weishen video is 14, and the second setting constant can be 2.
Every group of decomposed component in the multiple groups decomposed component determined for some component is substituted into above-mentioned formula (2- respectively 3) multiple Decomposition Accuracies, can be obtained.
For example, the first setting constant a can be 32, the second setting constant b can be that 6, ii and jj can be for for one (255,255) this group of decomposed component in multiple groups decomposed component that the B component of pixel A determines in 10 high locating depth images, Namely ii=255, jj=255, the B component inum of pixel A can be 1023, by a=32, b=6, ii=255, jj=255 with And the Decomposition Accuracy errcur of inum=1023 substitution above-mentioned formula (2-3) available (255,255) this group of decomposed component is 6.48。
Step 204: from the multiple Decomposition Accuracies obtained for the component, selecting the smallest one group of decomposition of Decomposition Accuracy point Amount.
Wherein it is possible to which the multiple Decomposition Accuracies obtained for the component are compared, and select wherein the smallest point Precision is solved, then can determine the corresponding decomposed component of minimal decomposition precision.Further, for one-component, every calculating , can be by the Decomposition Accuracy and calculated Decomposition Accuracy is compared before out when the corresponding Decomposition Accuracy of the component, And that lesser Decomposition Accuracy in the two is left, after repeatedly calculating and comparing, until finally leaving the smallest decomposition Precision, and determine the corresponding decomposed component of minimal decomposition precision.It should be noted that the embodiment of the present invention is not limited to this kind Determine the mode of minimal decomposition precision.
For example, the multiple decomposition essence that can will be obtained for the B component 1023 of pixel A in one 10 high locating depth images Degree is compared, and then can choose out wherein the smallest Decomposition Accuracy is 6.48, then can determine minimal decomposition precision 6.48 corresponding decomposed components are (255,255).
In addition, step 201 can also pass through following Implementation of pseudocode to 204, comprising:
Process represented by above-mentioned pseudocode are as follows: set an initial precision minerr, such as 2560000 first;Then Extracting operation is carried out to any component inum of any pixel in any high locating depth image and rounding operation obtains standard component valinner;Taking for the corresponding decomposed component of component inum is determined according to standard component valinner and multiple thirds setting constant It is worth range [valmin, valmax];First group of decomposed component ii=is determined from the value range [valmin, valmax] Valmin and jj=valmin;The value of intermediate quantity mulrslt is set as the product of ii and jj;Again by the value of intermediate quantity mulrslt It is determined as finally obtained numerical value after ii and the product of jj add the corresponding binary number of 32 obtained numerical value to move to right 6;It is right The difference of intermediate quantity mulrslt and component inum carry out the operation that takes absolute value, obtain component inum be decomposed into ii=valmin and The Decomposition Accuracy errcur of jj=valmin;By the Decomposition Accuracy errcur of ii=valmin and jj=valmin and initial precision Minerr is compared, if the Decomposition Accuracy errcur of ii=valmin and jj=valmin is less than initial precision minerr, The Decomposition Accuracy errcur of ii=valmin and jj=valmin is then determined as initial precision minerr, and most by Decomposition Accuracy Hour, corresponding decomposed component fstval and scdval was determined as ii=valmin and jj=valmin;Then it returns from value model The step of determining decomposed component in [valmin, valmax] is enclosed, and then continues to determine from value range [valmin, valmax] Second group of decomposed component ii=valmin and jj=valmin+1, until by the whole in value range [valmin, valmax] Decomposed component substitution finishes, and finally obtains the smallest Decomposition Accuracy minerr in all Decomposition Accuracies, and obtains minimal decomposition essence Spend corresponding that group of decomposed component (fstval, scdval).
Use the prior art by high locating depth video demotion for the Decomposition Accuracy of low level depth video generally between 1 and 3, and adopt One 10 digital video is decomposed into the decomposition essence of two 8 digital videos by many experiments with method provided in an embodiment of the present invention Degree can be down to 0.26, thus the precision of the low level depth video loss obtained through the embodiment of the present invention is smaller, to reduce understanding The distortion factor of video after code.
So far, point to some component of some pixel in high locating depth image is realized by step 201 to step 204 Solution preocess, for each component of each pixel in each high locating depth image, can by step 201 to step 204 into Row decomposes.For example, for the RGB component (R=97, G=728, B=1023) of pixel A in one 10 high locating depth images, it can To be broken down into being in the pixel A 1 of same position in two low level depth images with pixel A by step 201 to step 204 The RGB component (R=78, G=215, B=255) of RGB component (R=78, G=215, B=255) and pixel A 2.
Step 205: according to the selected decomposed component of each component for each pixel in each high locating depth image Constitute multiple low level depth images.
According to the selected decomposed component of each component for each pixel in each high locating depth image, video image Processing equipment may be constructed multiple low level depth images, and each low level depth image in multiple low level depth image corresponds to a height Locating depth image so far realizes the conversion by high locating depth image to low level depth image.
Step 206: multiple low level depth images are divided into first group of low level depth image and second group of low level depth image.
Wherein it is possible to which multiple low level depth images are divided into two groups of low level depth images, and then two groups of low levels can be schemed deeply As being synthesized with certain rule, obtain the low level depth video of a synthesis, consequently facilitating further coding and equipment it Between transmission.
Certainly, in practical applications, multiple low level depth images can also be divided into multiple groups low level depth image, for example divided For three groups of low level depth images, four groups of low level depth images etc., the present invention is not especially limited this.
Step 207: first group of low level depth image and second group of low level depth image being synthesized into low level depth video, and to low level Deep video is encoded.
Wherein, the implementation for first group of low level depth image and second group of low level depth image being synthesized low level depth video can Think following two ways, comprising:
The first synthesis mode: by each low level depth image and second group of low level depth image in first group of low level depth image In the mutually interspersed arrangement of each low level depth image, obtain low level depth video.
In the low level depth video obtained by the first synthesis mode, odd-numbered frame can be first group of low level depth image, Even frame can be second group of low level depth image or odd-numbered frame can be second group of low level depth image, and even frame can be the One group of low level depth image obtains low level depth video to realize the time-domain multiplexed of two-way low level depth video.
Certainly, in practical applications, when multiple low level depth images are divided into multiple groups low level depth image, for example it is divided into One group of low level depth image, second group of low level depth image and third group low level depth image, then can be according to 123123123......'s Sequence is mutually interspersed by three groups of low level depth images, the low level depth video after obtaining three road low level depth video multiplex.And so on, it will Multiple low level depth images are divided into 4 groups, and 5 groups, 6 groups etc. are also same mode.
Second of synthesis mode: by each low level depth image and second group of low level depth image in first group of low level depth image In each low level depth image or so splicing, obtain multiple stitching images;By multiple stitching image sequentials, low level depth is obtained Video.
In the low level depth video obtained by the first synthesis mode, left-half can be schemed deeply for first group of low level Picture, right half part can be second group of low level depth image or left-half can be second group of low level depth image, right half part Low level depth video can be obtained to realize the space-domain multiplexing of two-way low level depth video for first group of low level depth image.
Certainly, in practical applications, multiple low level depth images can be equally divided into first group of low level depth image, second Group low level depth image and third group low level depth image, then can be using first group of low level depth image as a left side three for low level depth video / a part, using second group of low level depth image as the intermediate one third part of low level depth video, and third group is low Right one third part of the locating depth image as low level depth video, the low level depth video after obtaining three road low level depth video multiplex. And so on, multiple low level depth images are divided into 4 groups, 5 groups, 6 groups etc. are also same mode.
It can be encoded after obtaining low level depth video, it is low when needing to play in order to subsequent transimission and storage When locating depth video, it can be decoded, so as to reduce distortion with the high locating depth video before the reduction of higher precision Degree.
The embodiment of the present invention includes following advantages: for each component of each pixel in high locating depth image, by needle The every group of decomposed component in multiple groups decomposed component determined to the component carries out precision operations, obtains multiple Decomposition Accuracies, and from In the multiple Decomposition Accuracies obtained for the component, the smallest one group of decomposed component of Decomposition Accuracy is selected, so as in a high position In deep video conversion process, the precision of image is controlled, and then it is the smallest low by high locating depth video to convert distortion level Locating depth video.It will further be constituted for the selected decomposed component of each component of each pixel in each high locating depth image Multiple low level depth images, and multiple low level depth images are divided into multiple groups low level depth image, later by multiple groups low level depth image into Row time domain or space-domain multiplexing can synthesize low level depth video, to be low level depth Video Decoder by high locating depth Video Composition Can decoded low level depth video, therefore, the present invention equally using low level depth Video Decoder be decoded in the case where, can To lose less precision when carrying out demotion conversion to high locating depth video, keep decoded image and original image closer.
It should be noted that for simple description, therefore, it is stated as a series of action groups for embodiment of the method It closes, but those skilled in the art should understand that, embodiment of that present invention are not limited by the describe sequence of actions, because according to According to the embodiment of the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art also should Know, the embodiments described in the specification are all preferred embodiments, and the related movement not necessarily present invention is implemented Necessary to example.
Embodiment three
Referring to Fig. 3, a kind of block diagram of video image processing device 300 is shown, which can specifically include:
Setting module 301 sets the corresponding decomposition of component for each component for each pixel in high locating depth image The value range of component;High locating depth image is the video image that component digit is greater than 8;
Determining module 302, for determining multiple groups decomposed component from the value range set for component;
Computing module 303, for carrying out precision to every group of decomposed component in the multiple groups decomposed component determined for component Operation obtains multiple Decomposition Accuracies;
Selecting module 304, for selecting Decomposition Accuracy one group the smallest from the multiple Decomposition Accuracies obtained for component Decomposed component;
Module 305 is constituted, for selected according to each component for each pixel in each high locating depth image Decomposed component constitutes multiple low level depth images;
Synthesis module 306 for multiple low level depth images to be synthesized low level depth video, and is compiled low level depth video Code.
The embodiment of the present invention includes following advantages: for each component of each pixel in high locating depth image, can pass through Computing module carries out precision operations to every group of decomposed component in the multiple groups decomposed component determined for the component, obtains multiple points Precision is solved, and through selecting module from the multiple Decomposition Accuracies obtained for the component, selects Decomposition Accuracy one group the smallest Decomposed component, so as to control the precision of image in high locating depth video conversion process, and then by constituting module And synthesis module, the smallest low level depth video of distortion level is converted by high locating depth video, therefore, the present invention is equally using low In the case that locating depth Video Decoder is decoded, less essence can be lost when carrying out demotion conversion to high locating depth video Degree, keeps decoded image and original image closer.
Example IV
Referring to Fig. 4 A, the block diagram of another video image processing device 400 is shown, which can specifically include:
Setting module 401 sets the corresponding decomposition of component for each component for each pixel in high locating depth image The value range of component;Wherein, Gao Weishen image is the video image that component digit is greater than 8;
Determining module 402 is divided for from the value range of the decomposed component set for component, determining that multiple groups are decomposed Amount;
Computing module 403, for carrying out precision to every group of decomposed component in the multiple groups decomposed component determined for component Operation obtains multiple Decomposition Accuracies;
Selecting module 404, for selecting Decomposition Accuracy one group the smallest from the multiple Decomposition Accuracies obtained for component Decomposed component;
Module 405 is constituted, for selected according to each component for each pixel in each high locating depth image Decomposed component constitutes multiple low level depth images;
Synthesis module 406 for multiple low level depth images to be synthesized low level depth video, and is compiled low level depth video Code.
Optionally, referring to Fig. 4 B, computing module 403 includes:
Determine submodule 4031, for according in the multiple groups decomposed component determined for component every group of decomposed component, the One setting constant, the second setting constant and component, determine multiple Decomposition Accuracies.
Optionally, referring to Fig. 4 C, setting module 401 includes:
First setting submodule 4011, for obtaining standard component by carrying out extracting operation and rounding operation to component; Constant, the value range of the corresponding decomposed component of setting component are set according to standard component and multiple thirds;Alternatively,
Second setting submodule 4012, for preset value range to be set as to the value of the corresponding decomposed component of component Range.
Optionally, referring to Fig. 4 D, synthesis module 406 includes:
First divides submodule 4061, for multiple low level depth images to be divided into first group of low level depth image and second group Low level depth image;
First order submodule 4062, for each low level depth image in first group of low level depth image is low with second group The mutually interspersed arrangement of each low level depth image in locating depth image, obtains low level depth video.
Optionally, referring to Fig. 4 E, synthesis module 406 includes:
Second divides submodule 4063, for multiple low level depth images to be divided into first group of low level depth image and second group Low level depth image;
Splice submodule 4064, for by each low level depth image and second group of low level depth in first group of low level depth image Each low level depth image in image or so splicing, obtains multiple stitching images;
Second order submodule 4065, for obtaining low level depth video for multiple stitching image sequentials.
The embodiment of the present invention includes following advantages: for each component of each pixel in high locating depth image, can pass through Computing module carries out precision operations to every group of decomposed component in the multiple groups decomposed component determined for the component, obtains multiple points Precision is solved, and through selecting module from the multiple Decomposition Accuracies obtained for the component, selects Decomposition Accuracy one group the smallest Decomposed component, so as to control the precision of image in high locating depth video conversion process, and then by constituting module And synthesis module, the smallest low level depth video of distortion level is converted by high locating depth video, therefore, the present invention is equally using low In the case that locating depth Video Decoder is decoded, less essence can be lost when carrying out demotion conversion to high locating depth video Degree, keeps decoded image and original image closer.
For device embodiment, since it is basically similar to the method embodiment, related so being described relatively simple Place illustrates referring to the part of embodiment of the method.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with The difference of other embodiments, the same or similar parts between the embodiments can be referred to each other.
It should be understood by those skilled in the art that, the embodiment of the embodiment of the present invention can provide as method, apparatus or calculate Machine program product.Therefore, the embodiment of the present invention can be used complete hardware embodiment, complete software embodiment or combine software and The form of the embodiment of hardware aspect.Moreover, the embodiment of the present invention can be used one or more wherein include computer can With in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of program code The form of the computer program product of implementation.
In a typical configuration, the computer equipment includes one or more processors (CPU), input/output Interface, network interface and memory.Memory may include the non-volatile memory in computer-readable medium, random access memory The forms such as device (RAM) and/or Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is to calculate The example of machine readable medium.Computer-readable medium includes that permanent and non-permanent, removable and non-removable media can be with Realize that information is stored by any method or technique.Information can be computer readable instructions, data structure, the module of program or Other data.The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory techniques, CD-ROM are read-only Memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or Other magnetic storage devices or any other non-transmission medium, can be used for storage can be accessed by a computing device information.According to Herein defines, and computer-readable medium does not include non-persistent computer readable media (transitory media), such as The data-signal and carrier wave of modulation.
The embodiment of the present invention be referring to according to the method for the embodiment of the present invention, terminal device (system) and computer program The flowchart and/or the block diagram of product describes.It should be understood that flowchart and/or the block diagram can be realized by computer program instructions In each flow and/or block and flowchart and/or the block diagram in process and/or box combination.It can provide these Computer program instructions are set to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminals Standby processor is to generate a machine, so that being held by the processor of computer or other programmable data processing terminal devices Capable instruction generates for realizing in one or more flows of the flowchart and/or one or more blocks of the block diagram The device of specified function.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing terminal devices In computer-readable memory operate in a specific manner, so that instruction stored in the computer readable memory generates packet The manufacture of command device is included, which realizes in one side of one or more flows of the flowchart and/or block diagram The function of being specified in frame or multiple boxes.
These computer program instructions can also be loaded into computer or other programmable data processing terminal devices, so that Series of operation steps are executed on computer or other programmable terminal equipments to generate computer implemented processing, thus The instruction executed on computer or other programmable terminal equipments is provided for realizing in one or more flows of the flowchart And/or in one or more blocks of the block diagram specify function the step of.
Although the preferred embodiment of the embodiment of the present invention has been described, once a person skilled in the art knows bases This creative concept, then additional changes and modifications can be made to these embodiments.So the following claims are intended to be interpreted as Including preferred embodiment and fall into all change and modification of range of embodiment of the invention.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that process, method, article or terminal device including a series of elements not only wrap Those elements are included, but also including other elements that are not explicitly listed, or further includes for this process, method, article Or the element that terminal device is intrinsic.In the absence of more restrictions, limited by sentence " including one ... " Element, it is not excluded that including identical being wanted in the process, method of the element, article or terminal device there is also other Element.
Above to a kind of method of video image processing provided by the present invention and a kind of video image processing device, carry out It is discussed in detail, used herein a specific example illustrates the principle and implementation of the invention, above embodiments Illustrate to be merely used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, according to According to thought of the invention, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification It should not be construed as limiting the invention.

Claims (10)

1. a kind of method of video image processing, which is characterized in that the described method includes:
For each component of each pixel in high locating depth image, the value range of the corresponding decomposed component of the component is set; Wherein, the high locating depth image is the video image that component digit is greater than 8;
From the value range of the decomposed component set for the component, multiple groups decomposed component is determined;
Precision operations are carried out to every group of decomposed component in the multiple groups decomposed component determined for the component, obtain multiple decomposition Precision, the Decomposition Accuracy are used to indicate the difference between the high locating depth image after reduction and the high locating depth image before demotion conversion It is different;
From the multiple Decomposition Accuracies obtained for the component, the smallest one group of decomposed component of Decomposition Accuracy is selected;
It is constituted according to the selected decomposed component of each component for each pixel in each high locating depth image multiple Low level depth image;
The multiple low level depth image is synthesized into low level depth video, and the low level depth video is encoded.
2. the method according to claim 1, wherein the described pair of multiple groups decomposed component determined for the component In every group of decomposed component carry out precision operations, obtain multiple Decomposition Accuracies, comprising:
According to every group of decomposed component, the first setting constant, the second setting in the multiple groups decomposed component determined for the component Constant and the component, determine multiple Decomposition Accuracies.
3. the method according to claim 1, wherein the value of the corresponding decomposed component of the setting component Range, comprising:
By carrying out extracting operation and rounding operation to the component, standard component is obtained;According to the standard component and multiple Third sets constant, sets the value range of the corresponding decomposed component of the component;Alternatively,
Preset value range is set as to the value range of the corresponding decomposed component of the component.
4. the method according to claim 1, wherein described synthesize low level depth for the multiple low level depth image Video, comprising:
Multiple low level depth images are divided into first group of low level depth image and second group of low level depth image;
Each low level depth image in first group of low level depth image is each low in second group of low level depth image The mutually interspersed arrangement of locating depth image, obtains low level depth video.
5. the method according to claim 1, wherein described synthesize low level depth for the multiple low level depth image Video, comprising:
Multiple low level depth images are divided into first group of low level depth image and second group of low level depth image;
Each low level depth image in first group of low level depth image is low with each of second group of low level depth image Locating depth image or so splicing, obtains multiple stitching images;By the multiple stitching image sequential, low level depth video is obtained.
6. a kind of video image processing device, which is characterized in that described device includes:
Setting module sets corresponding decompose of the component and divides for each component for each pixel in high locating depth image The value range of amount;Wherein, the high locating depth image is the video image that component digit is greater than 8;
Determining module, for determining multiple groups decomposed component from the value range of the decomposed component set for the component;
Computing module, for carrying out precision fortune to every group of decomposed component in the multiple groups decomposed component determined for the component It calculates, obtains multiple Decomposition Accuracies, the Decomposition Accuracy is used to indicate the high locating depth image after reduction and the high position before demotion conversion Difference between deep image;
Selecting module, for selecting the smallest component of Decomposition Accuracy from the multiple Decomposition Accuracies obtained for the component Solve component;
Module is constituted, for according to the selected decomposition of each component for each pixel in each high locating depth image Component constitutes multiple low level depth images;
Synthesis module for the multiple low level depth image to be synthesized low level depth video, and carries out the low level depth video Coding.
7. device according to claim 6, which is characterized in that the computing module includes:
Submodule is determined, for setting according to every group of decomposed component being directed in the multiple groups decomposed component that the component determines, first Permanent amount, the second setting constant and the component, determine multiple Decomposition Accuracies.
8. device according to claim 6, which is characterized in that the setting module includes:
First setting submodule, for obtaining standard component by carrying out extracting operation and rounding operation to the component;According to The standard component and multiple thirds set constant, set the value range of the corresponding decomposed component of the component;Alternatively,
Second setting submodule, for preset value range to be set as to the value model of the corresponding decomposed component of the component It encloses.
9. device according to claim 6, which is characterized in that the synthesis module includes:
First divides submodule, for multiple low level depth images to be divided into first group of low level depth image and second group of low level figure deeply Picture;
First order submodule, for each low level depth image in first group of low level depth image is low with described second group The mutually interspersed arrangement of each low level depth image in locating depth image, obtains low level depth video.
10. device according to claim 6, which is characterized in that the synthesis module includes:
Second divides submodule, for multiple low level depth images to be divided into first group of low level depth image and second group of low level figure deeply Picture;
Splice submodule, for by first group of low level depth image each low level depth image and second group of low level it is deep Each low level depth image in image or so splicing, obtains multiple stitching images;
Second order submodule, for obtaining low level depth video for the multiple stitching image sequential.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101375313A (en) * 2006-01-24 2009-02-25 诺基亚公司 Compression of images for computer graphics
CN103096055A (en) * 2011-11-04 2013-05-08 华为技术有限公司 Image signal intra-frame prediction and decoding method and device
CN103141103A (en) * 2010-04-09 2013-06-05 Lg电子株式会社 Method and apparatus for processing video data
CN103379321A (en) * 2012-04-16 2013-10-30 华为技术有限公司 Prediction method and prediction device for video image component
CN106162130A (en) * 2015-04-15 2016-11-23 深圳市中兴微电子技术有限公司 A kind of image processing method and device, terminal

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101375313A (en) * 2006-01-24 2009-02-25 诺基亚公司 Compression of images for computer graphics
CN103141103A (en) * 2010-04-09 2013-06-05 Lg电子株式会社 Method and apparatus for processing video data
CN103096055A (en) * 2011-11-04 2013-05-08 华为技术有限公司 Image signal intra-frame prediction and decoding method and device
CN103379321A (en) * 2012-04-16 2013-10-30 华为技术有限公司 Prediction method and prediction device for video image component
CN106162130A (en) * 2015-04-15 2016-11-23 深圳市中兴微电子技术有限公司 A kind of image processing method and device, terminal

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