Dual-mode selection prediction method for complex texture in bandwidth compression

A technology of bandwidth compression and prediction method, which is applied in the field of compression, can solve the problems of inaccurate reference, reduction, and influence on the prediction quality of the prediction module for prediction coding, and achieve the reduction of theoretical limit entropy, excellent prediction effect, and better prediction effect Effect

Inactive Publication Date: 2019-03-01
JILIN JIANZHU UNIVERSITY
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  • Summary
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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

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  • Dual-mode selection prediction method for complex texture in bandwidth compression
  • Dual-mode selection prediction method for complex texture in bandwidth compression
  • Dual-mode selection prediction method for complex texture in bandwidth compression

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Embodiment 1

[0056] 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:

[0057] S1. Divide a video image to be encoded into multiple macroblocks, and determine pixel components to be encoded.

[0058] 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

[0064] 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:

[0065] S21. Create a first adaptive template, define the number L of epitopes and the serial number of epitopes, and set the first L1 epitopes as dynamic epitopes, and the last L-L1 epitopes as preset epitopes.

[0066] 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 M reconstruction values, and the reconstruction values ​​of the pixel components to be encoded in the M...

Embodiment 3

[0122] In this embodiment of the present invention, the difference from Embodiment 2 is that the number of candidate epitopes selected in step S24 is 1, that is, L'=1, and the candidate epitope is directly used as the first reference epitope, that is, Steps S25 to S26 are not performed, and step S27 is reached.

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Abstract

The invention relates to a dual-mode selection prediction method for a complex texture in bandwidth compression, which comprises the steps of: partitioning a to-be-encoded video image into a pluralityof macro blocks, and determining a to-be-encoded pixel component; by adopting an adaptive template prediction method, selecting a first reference pixel of each currently encoded pixel in a currentlyencoded macro block in an adaptive template, and calculating to obtain a group of first predicted residuals; by adopting an adaptive rectangular window prediction method, selecting a second referencepixel of each currently encoded pixel in the currently encoded macro block in a rectangular prediction search window, and calculating to obtain one group of second predicted residuals; calculating a first subjective difference according to one group of first predicted residuals, and calculating a second subjective difference according to one group of second predicted residuals; and comparing the first subjective difference with the second subjective difference, and determining an optimal prediction method of the currently encoded macro block to obtain one group of optimal predicted residuals.The dual-mode selection prediction method uses the macro blocks as prediction units, and according to different texture characteristics in different regions of the image, the optimal prediction methods are adaptively selected, so that the dual-mode selection prediction method is better in prediction effect.

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): H04N19/103H04N19/147H04N19/176H04N19/56
CPCH04N19/103H04N19/147H04N19/176H04N19/56
Inventor 冉文方田林海李雯
Owner JILIN JIANZHU UNIVERSITY
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