WO2008067762A1

WO2008067762A1 - A prediction compression encoding method and system

Info

Publication number: WO2008067762A1
Application number: PCT/CN2007/071170
Authority: WO
Inventors: Zhongmou Wu; Yun He; Bingqiang Zhu; Jianhua Zheng; Xinjian Meng; Shujuan Shi; Xiaozhen Zheng
Original assignee: Huawei Technologies Co., Ltd.
Priority date: 2006-12-04
Filing date: 2007-12-04
Publication date: 2008-06-12
Also published as: CN101198062A

Abstract

A prediction compression encoding method is provided, which includes the following steps: according to the characteristic information of each component of the image, selecting a first component from the components; analyzing at least two prediction modes for the first component, according to the analysis result, selecting a prediction mode to implement the prediction compression encoding for the first component; analyzing at least two prediction modes for the rest components, according to the analysis result, selecting a prediction mode to implement the prediction compression encoding for the rest components. A prediction compression encoding system is also provided, which includes at least three prediction compression encoding units and at least three mode selection units. By using the prediction compression encoding method and system, the favorable efficiency of prediction compression encoding can be ensured.

Description

Prediction compression coding method and system

Technical field

The present invention relates to video compression techniques for image formats, and more particularly to a predictive compression coding method and system. Background of the invention

In image video display technology, in order to correctly and effectively express color information, it is necessary to establish and select an appropriate color model. The color model is built into the color space, so the color model is closely related to the color space. Commonly used color spaces include: three primary colors (RGB), YCbCr, and so on.

The images referred to herein include still images, moving images, image sequences and video images, and images obtained by processing these images.

According to the manner of spatial sampling of color images, the image format can be divided into a first sampling format, a second sampling format, and the like. The first sampling format is an image format with equal sampling rates of various components, which can be a 4:4:4 sampling format.

The prior art provides two first predictive compression coding methods based on a first sampling format, where the first prediction compression coding method predicts that a prediction result of a current image is predicted from information in the image, that is, Refers to the intra prediction compression coding method.

In the first prior art predictive compression coding method based on the first sampling format, each component uses the same block partition and the first prediction mode combination to perform the first predictive compression coding, and the first prediction mode refers to The first predictive compression coding method corresponds to an optional prediction mode. The method for selecting the same block partition and the first prediction mode combination is: selecting a block partition and a first prediction mode combination in the block partition candidate category, and using the combination to perform the first prediction on all components Compression coding. FIG. 1 is a structural diagram of a system corresponding to a first predictive compression coding method based on a first sampling format in the prior art. The system includes n prediction compression coding units, a mode selection unit, and an entropy coding unit, where n is an integer greater than or equal to 3. In this system, when predictive compression coding is performed on n components, the same block division module is employed, and the same first prediction mode is employed.

Specifically, the n first prediction compression coding units respectively receive n components of the video image sequence that need to be compression-coded, and respectively calculate and receive according to a combination of each block division method and the first prediction mode that may be adopted. a coding efficiency value corresponding to each component, a combination of each block division method and a first prediction module, and transmitting the calculated coding efficiency value to the mode selection unit;

The mode selection unit receives the coding efficiency value of each combination of the block division and the first prediction mode transmitted by the n first prediction compression coding units, and divides the same block of the n components and the prediction module of the first type The coding efficiency values corresponding to the combination are added to obtain a common coding efficiency value of each block division and the first prediction mode combination, and the optimal block division and the first type are selected according to the obtained common coding efficiency value. a combination of prediction modes, notifying each of the first predictive compression coding units;

Then, the first first prediction coding units respectively perform the first prediction coding on the respective received components according to the block division selected by the mode selection module and the first prediction mode combination, and send the result to the entropy coding unit, which is entropy coded. The unit performs entropy encoding processing on the received encoded component, and outputs a bit stream.

In the first prediction compression coding method based on the first sampling format, a block prediction and a first prediction mode combination are respectively selected for each component, and the first prediction coding is performed, and each component is selected separately. The method of combining the block partition and the first prediction mode is: calculating the coding efficiency value of each component under the combination of all possible block partitions and the first prediction mode, and selecting the optimal block partition according to the coding efficiency value of each component And the first prediction mode Combining, and using the selected combination, performs the first predictive coding of the corresponding component.

2 is a system structural diagram corresponding to a first prediction compression coding method based on the first sampling format in the prior art. The system includes: n first predictive compression coding units and entropy coding units. Each of the first predictive compression coding units respectively receives each component of the video image sequence that needs to be compression-coded, and each of the first predictive compression coding units calculates the coding of the corresponding component received under all the block partitioning and the intra prediction mode combination. The efficiency value, and the block coding with the best coding efficiency value and the first prediction mode are combined to perform the first prediction coding of the corresponding component. The entropy coding unit entropy encodes the encoded components transmitted by the received n first prediction compression coding units, and outputs the bit stream.

The first prior art predictive compression coding method based on the first sampling format of the prior art is implemented, and the second predictive compression coding method based on the first sampling format is implemented, and the lower code rate is achieved. When the signal-to-noise ratio (PSNR) is less than 45 dB, better coding efficiency than the second method can be obtained. However, at higher bit rates and PSNR greater than 45 dB, better coding efficiency cannot be obtained.

A second type of predictive compression coding method based on the first sampling format in the prior art, which performs a first type of predictive coding for each component selection block partition and a first prediction mode combination, so that the PSNR is greater than 45 dB, In the case of a higher code rate, better coding efficiency can be obtained, but in the case where the PSNR is less than 45 dB and the bit rate is low, since this method needs to carry a large amount of header information and the first prediction mode information, Therefore, the coding efficiency is poor.

The prior art provides two video second prediction compression coding methods based on the first sampling format. The second predictive compression coding method predicts that the prediction result of the current picture is predicted from information in the picture or other pictures, that is, the inter prediction compression coding method.

In the first second predictive coding method based on the first sampling format, the second prediction mode and the motion vector parameter are selected for each component of the input video image sequence that needs to be compression-coded for the second prediction. Compression coding. 3 is a structural diagram of a second predictive compression coding system based on the first sampling format in the prior art. The system includes: n second prediction compression coding units, motion vector selection units, second prediction mode selection units, and entropy coding units that respectively receive n components.

The first second predictive compression coding unit receives the first component and sends it to the motion vector selection unit.

The motion vector selecting unit performs motion search on each received second component in each of the second prediction modes in all current second prediction modes, and determines a block corresponding to the best matching according to the selected cost function. a motion vector parameter, and sent to each of the second predictive compression coding units;

Each second prediction compression coding unit calculates an coding efficiency value of each received component in each of the second prediction modes according to the received motion vector parameter, and sends the coding efficiency value to the prediction mode selection unit;

The prediction mode selecting unit adds the coding efficiency values of the same second prediction mode sent by the received n second prediction compression coding units, and obtains a common coding of n components corresponding to each second prediction mode. An efficiency value, and notifying the n prediction compression coding units of the second prediction mode with the best common coding efficiency value of the selected n components;

Each of the predictive compression coding units then performs a second predictive compression coding on each of the received components in accordance with the second prediction mode selected by the second prediction mode selection unit.

The entropy coding unit is configured to perform bit entropy coding on the received encoded component, and output a bit crisis.

In a second second type of predictive coding method based on the first sampling format, the n components of the input video image sequence that need to be compression-coded are independently selected from the best second prediction mode, and are independently transmitted. The motion vector parameter corresponding to each component. The specific inter-prediction coding method process is: in all current second prediction modes, for n components in each In the second prediction mode, motion search is performed separately, and the motion vector parameters corresponding to the best matching block of each component are determined according to the selected cost function, and the coding efficiency of each component in each second prediction mode is calculated. Value, the second prediction mode with the best coding efficiency of each component is selected to perform the second prediction compression coding on the component.

4 is a structural diagram of a second prediction compression coding system based on the first sampling format of the prior art. The system includes: n second predictive compression coding units, n motion vector selection units, n second prediction mode selection units, and entropy coding units that respectively receive n components.

The n second prediction compression coding units respectively receive n components and send them to the corresponding n motion vector selection units.

n motion vector selection units respectively perform motion search on the received components in each of the second prediction modes in all current second prediction mode tool sets, and determine the best matching according to the selected cost function. a motion vector parameter corresponding to the block, and sent to the corresponding second predictive compression coding unit;

n prediction compression coding units respectively calculate coding efficiency values of respective received components in each of the second prediction modes according to the received motion vector parameters, and select a second prediction mode pair with the best coding efficiency to receive Second-order predictive compression coding

The first video predictive compression coding method based on the first sampling format of the prior art is implemented, and is implemented lower than the second video prediction coding method based on the second sampling format. When the code rate and signal-to-noise ratio (PSNR) are less than 45dB, since the header information, the second prediction mode and the motion vector parameter that need to be transmitted are less than the second method, it is better to obtain a better method than the second method. The coding efficiency. But in the case of a PSNR greater than 45 dB, a higher code rate, this method uses the same motion for each component. The vector parameter and the second prediction mode perform the second predictive compression coding, and a good coding efficiency cannot be obtained.

A second video predictive compression coding method based on the first sampling format of the prior art, which respectively selects a motion vector parameter for each component and a second prediction mode for the second prediction mode, so that the PSNR is greater than 45 dB. In the case of a higher code rate, good coding efficiency can be obtained, but in the case where the PSNR is less than 45 dB and the bit rate is low, since this method needs to carry a large amount of header information, the second prediction mode information, and Motion vector parameters, so coding efficiency is poor.

The first predictive coding method and the second predictive coding method can selectively perform each image of a video image to form a complete video image predictive coding method.

Therefore, in order to ensure that the first and second predictive compression coding have good coding efficiency, the prior art needs to select different methods according to different application situations, resulting in inconvenience in use. Summary of the invention

In view of this, the main object of the present invention is to provide a predictive compression coding method capable of ensuring good coding efficiency of predictive coding.

Another main object of the present invention is to provide a predictive compression coding system capable of ensuring good coding efficiency of predictive coding.

In order to achieve the first aspect of the foregoing, an embodiment of the present invention provides a predictive compression coding method, where the method includes:

And selecting, according to the feature information of each component of the image, the first component from the components; analyzing at least two prediction modes of the first component, selecting a prediction mode according to the analysis result, performing predictive compression coding on the first component; analyzing the remaining components At least two prediction methods are performed, and a prediction mode is selected according to the analysis result to perform predictive compression coding on the remaining components. In order to achieve the second aspect of the present invention, an embodiment of the present invention provides a predictive compression coding system, where the system includes: at least three predictive compression coding units and at least three mode selection units, where

a first prediction compression coding unit, configured to analyze a prediction manner of the first component, and select a prediction manner according to the analysis result to perform predictive compression coding on the first component;

And the remaining prediction compression coding unit is configured to separately analyze prediction modes of the remaining components, and send the analysis result to the mode selection unit, and perform prediction compression coding on the remaining components according to the prediction manner notified by the mode selection unit;

The mode selection unit is configured to select a prediction mode according to the received analysis result, and notify the remaining prediction compression coding unit.

As can be seen from the foregoing technical solutions, the predictive compression coding method and system provided by the embodiments of the present invention, by analyzing the feature information of each component, selecting the first component, separately selecting the block partition and the prediction mode combination for the first component to perform predictive compression coding, and The same intra block compression prediction coding is performed by selecting a common block partitioning and prediction mode combination for the remaining components.

For the first predictive compression coding method, the method and system provided by the embodiments of the present invention overcome the first predictive compression coding method shown in FIG. 1 in the case where the PSNR is high, for example, greater than 45 dB, and the good is not obtained. The problem of coding efficiency also solves the problem that the first predictive coding method of Fig. 2 has poor coding efficiency due to the need to carry a large amount of block header information and prediction mode information in the case where the PSNR is low, for example, less than 45 dB.

For the second predictive compression coding method, the method and system provided by the embodiments of the present invention overcome the second predictive compression coding method shown in FIG. 3, in the case where the PSNR is high, for example, greater than 45 dB, which cannot be obtained well. The coding efficiency problem also solves the second prediction coding method shown in FIG. 4, in the case of a low PSNR, for example, less than 45 dB, due to the need to carry a large amount of block header information, second prediction mode information, and motion vector parameter information. The problem of poor coding performance is poor. In summary, the predictive compression coding method and system provided by the embodiments of the present invention are utilized.

The range of PSNR values is good, and good coding efficiency can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

1 is a system structural diagram corresponding to a first prediction compression coding method based on a first sampling format in the prior art;

1 is a system structure diagram corresponding to a first prediction compression coding method based on a first sampling format in the prior art;

3 is a system structure diagram corresponding to a second prediction compression coding method based on the first sampling format in the prior art;

4 is a system structure diagram corresponding to a second prediction compression coding method based on the first sampling format in the prior art;

FIG. 5 is a flowchart of a first predictive compression coding method based on a first sampling format according to an embodiment of the present invention; FIG.

6 is a structural diagram of a first predictive compression coding system applying the method shown in FIG. 5; FIG. 7 is a flowchart of a second predictive compression coding method based on a first sampling format according to an embodiment of the present invention;

Fig. 8 is a structural diagram of a second predictive compression coding system to which the method shown in Fig. 7 is applied. Mode for carrying out the invention

In order to make the objects, technical solutions and advantageous effects of the present invention more comprehensible, the present invention will be further described in detail below with reference to the embodiments and the accompanying drawings.

The predictive coding method provided by the embodiment of the present invention includes the following steps:

A. selecting the first component by analyzing the feature information of each component;

B. In the same block division type, analyze the prediction method of the first component, according to the analysis As a result, a prediction method is selected to perform predictive compression coding on the first component; the prediction mode of the remaining components is analyzed, and according to the analysis result, a prediction mode is selected to perform predictive compression coding on the remaining components.

Here, the prediction method for analyzing each component may be an encoding efficiency or a rate distortion rate (RDcost) value for analyzing a prediction mode of each component.

When the prediction mode is the first prediction mode, the prediction compression coding is the first prediction compression coding, and the corresponding prediction mode is a prediction mode combination corresponding to the block division and the intra prediction compression coding. When the prediction mode is the second prediction mode, the prediction compression coding is a second prediction compression coding, and the corresponding prediction mode is a combination of a prediction mode and a motion vector parameter corresponding to the inter prediction compression coding.

The analysis feature information may be analysis of texture information or histogram statistics of each component. If the first component is selected by analyzing the texture information of each component, when the RGB color space is adopted, the first component is the G component, and the remaining components are the R and B components; when the YCbCr color space is used, the first component is the Y component. The remaining components are the Cb and Cr components.

The predictive coding system provided by the embodiment of the present invention includes: three or more predictive compression coding units and a mode selection unit,

The first prediction compression coding unit analyzes the block division and the prediction mode combination of the first component, and selects a block division and a prediction mode combination to perform prediction compression coding on the first component according to the analysis result;

And the remaining prediction compression coding units respectively analyze the block division and the prediction mode combination of the remaining components, and send the analysis result to the mode selection unit, and perform the remaining components according to the block division and the prediction mode combination notified by the mode selection unit. Predictive compression coding;

The mode selection unit selects a block division and prediction mode combination according to the received analysis result, and notifies the remaining prediction compression coding unit.

Here, when the prediction mode is the first prediction mode, the prediction compression coding is A predictive compression coding; when the prediction mode is a second prediction mode, the prediction compression coding is a second prediction compression coding.

In the embodiment of FIG. 5 to FIG. 8, the number of set components is three, and the principle of selecting the first component is: selecting the component containing the most texture information among the three components as the first component. Analysis Each block partitioning and prediction mode combination is to analyze the RDcost values of each component under each block partitioning and prediction mode combination.

FIG. 5 is a flowchart of a first predictive compression coding method based on a first sampling format according to an embodiment of the present invention. The first predictive compression coding is intra prediction compression coding, and the process includes the following steps:

Step 501: Analyze the texture information of the received three components, select a component that includes the most texture information as the first component, and calculate a first RDcost value of the first component under each combination of the block partitioning and the intra prediction mode, and The second RDcost value common to the remaining two components.

The method for calculating the RDcost value of the first component in each of the block partitioning and intra prediction mode combinations is:

RDcost_l = Distortion_l + LamadaxBitrate_l.

Where RDcost_l represents the first RDcost value; Distortion_l represents the distortion of the first component, Lamada is the Lagrangian coefficient, and Bitrate_l represents the bit rate of the first component.

Calculate the remaining two components in common under a combination of block partitioning and intra prediction modes

The method of RDcost value is:

RDcost_2 = ( Distortion_2 + Distortion_3 ) + Lamadax (

Bitrate _2 + Bitrate _3 ).

Where RDcost_2 represents the second RDcost value; Distortion_2 and Distortion_3 represent the distortion of the second and third components, respectively, Lamada is the Lagrangian coefficient, and Bitrate _2 and Bitrate _3 represent the bitrates of the second and third components, respectively.

The type and number of combinations of block partitioning and intra prediction modes are flat by the adopted video coding standard. Taiwan decided. Assume that in a given video codec standard platform: There are three types of block partitioning: The first block partitioning method has sixteen rows in each block, and each row has sixteen pixels; the second block is divided into: There are eight rows in each block, each row has eight pixels; the third block is divided into four rows with four pixels per row. There are five prediction modes corresponding to the first block division mode, and nine prediction modes corresponding to the second block division mode, and nine prediction modes corresponding to the third block division mode. The prediction mode is defined as: The predicted value of a pixel in the current block is equal to fj(xi, yi, i=l-ni), (xi, yi), j=lm is the pixel around the current block, and f is the prediction function. There are a total of m prediction modes.

Step 502: Select a block division and an intra prediction mode combination with the smallest RDcost value to perform predictive compression coding on the first component, and select a block division and an intra prediction mode combination with the second RDcost value to predict the remaining two components respectively. Compression coding.

Fig. 6 is a structural diagram of a first predictive compression coding system to which the method shown in Fig. 5 is applied. The system includes: first, second, and third intra-frame predictive compression coding units, mode selection units, and entropy coding units that respectively receive the first, second, and third components.

The first intra-frame prediction compression coding unit is configured to calculate an RDcost value of the first component with the most texture information in each block partitioning and prediction mode combination, and select a block partition prediction mode combination pair with the smallest RDcost value. One component performs predictive compression coding;

And second and third intra-frame prediction compression coding units, configured to separately calculate RDcost values of each of the two block components and the intra prediction mode combination, and send the calculated RDcost value to the mode selection unit;

The mode selection unit adds the RDcost values of the combination of the same block division and the intra prediction mode sent by the received second and third intra-frame prediction compression coding units, and obtains that the remaining two components correspond to each block division and intraframe. Predicting a common RDcost value of the mode combination, and combining the block division and the intra prediction mode with the smallest common RDcost value of the remaining two components, and notifying the second and third intra prediction compression coding units; The second and third intra-prediction compression coding units perform predictive compression coding on the received components according to the block division and the prediction mode combination selected by the mode selection unit, respectively.

FIG. 7 is a flowchart of a second prediction compression coding method based on a first sampling format according to an embodiment of the present invention, where the second prediction compression coding is inter prediction compression coding, and the process includes the following steps:

Step 701: Analyze the texture information of the received three components, select a component that includes the most texture information as the first component, perform a motion search on the first component in each inter prediction mode, and determine the cost according to the selected cost function. Calculating a first RDcost value of the first component in each inter prediction mode according to a motion vector MV parameter corresponding to the best matched block;

In each inter prediction mode, the motion search is performed on the remaining two components, and the MV parameters corresponding to the best matching blocks of the remaining two components are determined according to the selected cost function, and each inter prediction mode is calculated. , the second RDcost value common to the remaining two components.

The method for calculating the RDcost value of the first component in each inter prediction mode is:

RDcost_l = Distortion_l + LamadaxBitrate_l.

The method of RDcost value is:

RDcost_2 = ( Distortion_2 + Distortion_3 ) + Lamadax (

Bitrate _2 + Bitrate _3 ).

Where RDcost_2 represents the second RDcost value; Distortion_2 and Distortion_3 represent the distortion amounts of the second and third components, respectively, Lamada is the Lagrangian coefficient, and Bitrate _2 and Bitrate _3 represent the bitrates of the second and third components, respectively. The type and number of inter prediction modes included in the inter prediction mode are determined by the adopted video coding standard platform. Suppose that in a given video codec standard platform, the mode of the interframe predictive coding method, in n, the predicted value of a pixel in the current block is equal to j(xi, yi, i=l-ni), (xi, Yi), j=ln is the pixel around the current block in the current image, or the pixel in other images, g is the prediction function, there are n total.

Step 702: Select an inter prediction mode with a first RDcost value to perform inter prediction coding on the first component, and select an inter prediction mode with a second RDcost value to perform inter prediction coding on the other two components.

When calculating the common RDcost value of the remaining two components in the above _n modes, the same MV parameter is determined for each of the two components by using each of the above modes, and then the two components are respectively calculated in the mode. The corresponding RDcost value is used to find the sum of the two RDcost values as the common RDcost value of the two components.

Fig. 8 is a structural diagram of a second predictive compression coding system to which the method shown in Fig. 7 is applied. The system includes: first, second, and third inter-frame prediction compression coding units, first and second motion vector selection units, inter prediction mode selection units, and entropy that respectively receive the first, second, and third components Coding unit.

The first motion vector selection unit is configured to perform motion search in each inter prediction mode on the first component containing the most texture information in the inter prediction mode tool set of the currently used standard platform, according to the selected The cost function determines a motion vector MV parameter corresponding to the block that is best matched, and sends the motion vector MV parameter to the first inter prediction compression coding unit;

The first inter-frame prediction compression coding unit is configured to calculate, according to the received MV parameter, an RDcost value of the first component in each inter prediction mode, and select an inter prediction mode with the smallest RDcost value to frame the first component. Inter-predictive compression coding;

a second motion vector selecting unit, configured to perform motion search on each of the remaining two components in each inter prediction mode in the inter prediction mode tool set of the currently used standard platform, Determining, according to the selected cost function, an MV parameter corresponding to the best matching block of the remaining two components, and transmitting the MV parameter to the second and third inter prediction compression coding units;

The second and third predictive compression coding units respectively calculate RDcost values of the remaining two components in each inter prediction mode according to the received MV parameters, and send the RDcost values to the inter prediction mode selection unit;

The inter prediction mode selecting unit adds the RDcost values of the same inter prediction mode sent by the received second and third predictive compression coding units, and obtains a common RDcost value corresponding to each inter prediction mode of the remaining two components. And notifying the second and third predictive compression coding units of the inter prediction mode with the smallest common RDcost value of the remaining two components; the second and third predictive compression coding units respectively select the frame according to the inter prediction mode selection unit The inter prediction mode performs inter prediction compression coding on the received components.

In the above two embodiments, when analyzing the feature information of each component of the image, the texture information of the component is analyzed, and the first component is determined according to the texture information; in fact, other feature information of the image component may also be analyzed, for example, analysis. Histogram statistics, and select the component with the largest dynamic range of the histogram as the first component.

In summary, the above description is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

Claim

A predictive compression coding method, characterized in that the method comprises:

And selecting, according to the feature information of each component of the image, the first component from the components; analyzing at least two prediction modes of the first component, selecting a prediction mode according to the analysis result, performing predictive compression coding on the first component; analyzing the remaining components At least two prediction methods are performed, and a prediction mode is selected according to the analysis result to perform predictive compression coding on the remaining components.

The method according to claim 1, wherein the analyzing the at least two prediction modes of the first component is: analyzing coding efficiency or rate distortion rate RDcost of at least two prediction modes of the first component Value

The at least two prediction manners of analyzing the remaining components are: analyzing coding efficiency or RDcost values of at least two prediction modes of the remaining components.

3. The method according to claim 2, wherein the coding efficiency or RDcost value of the at least two prediction modes for analyzing the remaining components comprises:

For each of the remaining components, respectively calculate coding efficiency or RDcost value of at least two prediction modes; in each prediction mode, sum the coding efficiency or RDcost value of each of the remaining components, and use the summation result as the rest The coding efficiency of the component or the RDcost value.

The method according to claim 2, wherein the predicting compression coding of the first component according to the analysis result is: selecting a prediction mode with the smallest RDcost value according to the analysis result to the first The component performs predictive compression coding;

According to the analysis result, a prediction mode is selected to perform predictive compression coding on the remaining components as follows: According to the analysis result, a prediction mode with the smallest RDcost value is selected to perform predictive compression coding on the remaining components.

The method according to any one of claims 1 to 4, wherein the predictive compression coding is intra prediction compression coding; The prediction mode is a combination of block partitioning and prediction mode corresponding to intra prediction compression coding.

The method according to any one of claims 1 to 4, wherein the predictive compression coding is inter prediction compression coding, and the prediction mode is a prediction mode and a motion vector parameter corresponding to inter prediction compression coding. combination.

The method according to any one of claims 1 to 4, wherein the selecting a first component from each component according to the feature information of each component of the image comprises: a texture according to each component of the image Information or histogram statistics, the first component being selected from each of the components.

The method according to claim 7, wherein the selecting the first component from each component according to the feature information of each component of the image comprises: selecting a texture from each component according to texture information of each component of the image The component with the most information is taken as the first component; or according to the histogram information of each component of the image, the component whose histogram statistical dynamic range is the largest is selected as the first component.

A predictive compression coding system, the system comprising: at least three predictive compression coding units and at least three mode selection units, wherein

The system according to claim 9, wherein the first predictive compression coding unit is an intra prediction compression coding unit, configured to perform intra prediction compression coding.

The system according to claim 9, wherein the first predictive compression coding unit is an inter prediction compression coding unit, configured to perform inter prediction compression coding.