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A dual-mode selection prediction method for complex textures in bandwidth compression

A technology of bandwidth compression and prediction method, applied in the field of compression, can solve the problem of lack of accurate reference for prediction coding, decrease, and affect the prediction quality of prediction module, so as to reduce the theoretical limit entropy, and achieve better prediction effect and better prediction effect. Effect

Inactive Publication Date: 2019-06-04
XIAN CREATION KEJI CO LTD
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  • Claims
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Problems solved by technology

[0004] However, when the texture of the image to be compressed is complex and changeable, when the complex texture area of ​​the image to be compressed is predicted according to a fixed prediction mode, the prediction mode used may only be applicable to some areas, but not to other areas. It is not applicable, resulting in the prediction codes in these areas cannot be accurately referenced, resulting in the theoretical limit entropy not being reduced to the maximum extent, and affecting the prediction quality of the prediction module

Method used

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  • A dual-mode selection prediction method for complex textures in bandwidth compression
  • A dual-mode selection prediction method for complex textures in bandwidth compression
  • A dual-mode selection prediction method for complex textures in bandwidth compression

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Embodiment 1

[0064] see figure 1 , figure 1 It is a flow chart of a dual-mode selection prediction method for complex textures in bandwidth compression provided by an embodiment of the present invention. The double-mode selection prediction method includes the following steps:

[0065] S1. Divide a video image to be encoded into multiple macroblocks, and determine pixel components to be encoded.

[0066] see figure 2 , figure 2 It is a schematic diagram of the macroblock division of the video image to be encoded provided by the embodiment of the present invention. In one embodiment of the present invention, in step S1, the video image to be encoded is divided into X identical macroblocks MB x , before encoding, encoding prediction will be performed on the X macroblocks one by one. Each macroblock contains M pixels, M≥4. For the xth macroblock MB x The M pixels in the order are numbered as C x,0 、C x,1 、C x,2 ,...C x,m ..., C x,M-1 ,, the original pixel value of the nth pixel...

Embodiment 2

[0072] see image 3 , image 3 It is a flowchart of an adaptive template prediction method provided by an embodiment of the present invention. In this embodiment of the present invention, on the basis of Embodiment 1, step S2 further includes the following steps:

[0073] S21. Create a first adaptive template to define the number of epitopes and the serial number of the epitopes.

[0074] see Figure 4 , Figure 4 The epitope schematic diagram of the first adaptive template provided by the embodiment of the present invention. Define that the first adaptive template contains L epitopes, L≥4, and the size of each epitope is the same as the size of a macroblock, that is, it contains M cells, and each cell corresponds to a reference pixel P l,m . The M cells of each epitope record the reconstruction values ​​of the pixel components to be encoded of the M pixels of a macroblock, and the reconstruction of the pixel components to be encoded of the M pixels of a certain macroblo...

Embodiment 3

[0137] The difference between the embodiment of the present invention and the second embodiment is that the number of candidate epitopes selected in step S24 is 1, then the candidate epitopes are directly used as the first reference epitope, that is, steps S25-S26 are not performed, and directly reach Step S27.

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Abstract

The invention relates to a dual-mode selection prediction method for complex textures in bandwidth compression, which comprises the following steps of: dividing a video image to be coded into a plurality of macro blocks, and determining a pixel component to be coded; Selecting a first reference pixel of each current coding pixel in the current coding macro block from an adaptive template by adopting an adaptive template prediction method, and calculating to obtain a group of first prediction residuals; Selecting a second reference pixel of each current coding pixel in the current coding macroblock in the cross window by adopting an adaptive cross window prediction method, and calculating to obtain a group of second prediction residuals; Calculating a first absolute residual sum accordingto the group of first predicted residuals, and calculating a second absolute residual sum according to the group of second predicted residuals; And comparing the first absolute residual sum with the second absolute residual sum, determining an optimal prediction method of the current coding macro block, and obtaining a group of optimal prediction residual. According to the method, the macro blockis used as a prediction unit, the optimal prediction method is adaptively selected according to the difference of texture features of different areas of the image, and the prediction effect is better.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to a dual-mode selection prediction method for complex textures in bandwidth compression. Background technique [0002] With the continuous improvement of the public's demand for video quality, the image resolution of the video has also increased exponentially, so that the data volume of the video image is very large, requiring more storage space and transmission bandwidth. Under such circumstances, it is particularly necessary to use the bandwidth compression technology in the chip to improve the storage space and transmission bandwidth of the image. [0003] The goal of the bandwidth compression technology is to increase the compression factor as much as possible with a smaller logic area cost, and reduce the occupation of double-rate synchronous dynamic random access memory (Double Data Rate, DDR for short). As an important module of bandwidth compression, the prediction mod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/176H04N19/103H04N19/182H04N19/147
Inventor 冉文方田林海李雯
Owner XIAN CREATION KEJI CO LTD
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