Video Coding Reference Block Filtering Method

A video coding and reference block technology, applied in the field of video coding reference block filtering, can solve problems such as increasing the difficulty of subsequent image coding, affecting the user's subjective experience, and mismatching boundaries, so as to achieve adaptive reference image quality, improve reference image quality, The effect of improving performance

Active Publication Date: 2019-12-31
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

After prediction and quantization coding, the problem of boundary mismatch between blocks may be introduced, resulting in incoherent boundaries
This not only affects the user's subjective experience and reduces the coding quality, but also weakens its own reference, objectively increasing the difficulty of coding subsequent images

Method used

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  • Video Coding Reference Block Filtering Method
  • Video Coding Reference Block Filtering Method
  • Video Coding Reference Block Filtering Method

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Experimental program
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Embodiment Construction

[0026] like figure 1 The video coding reference block filtering method of the present invention includes:

[0027] A. In the process of image coding, when the coding unit performs reference prediction, select a reference pixel block B with a size of M×N ref , you can select reference pixels with a size of 32 × 32 pixels or more for filtering, which can not only ensure the elimination of incoherence between smaller transform blocks, but also try to avoid filtering pixel blocks with better quality and reference. Calculate the current reference pixel block B ref The texture complexity C:

[0028] in represents the Laplace operator Acting on the reference pixel block B ref , and take the absolute value of the result, i and j respectively represent the reference pixel block B ref The coordinates of the corresponding pixel in , B(i, j) represents the reference pixel block B ref The pixel value of the i-th row and the j-th column.

[0029] Calculate the empirical values ​...

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Abstract

The present invention relates to a video coding reference block filtering method, comprising: A. calculating the current reference pixel block B. ref The texture complexity C; B. Reference pixel block B ref DCT transformation to obtain the transformation coefficient matrix I ref , calculate B ref The horizontal and vertical frequency distribution strength of the horizontal and vertical frequency distribution, and the corresponding horizontal and vertical filter factors; C. Establish and reference pixel block B ref The filter template U of the same size; D. The transformation coefficient matrix I will be obtained ref Multiply with the matrix of the filter template U to obtain the filtered coefficient matrix, and perform IDCT transformation to obtain the filtered reference pixel block; E. According to whether the average absolute difference and complexity of the filtered reference pixel block are reduced, determine whether to filter the filtered reference pixel block Write back reference pixel block to reference pixel block B ref middle. The present invention can effectively smooth the image texture, significantly improve the performance of image coding, and also avoid filtering the pixel blocks with good quality and reference, and realize the purpose of self-adaptively improving the quality of reference images .

Description

technical field [0001] The present invention relates to a video coding processing method, in particular to a video coding reference block filtering method. Background technique [0002] Compression of digital images and videos requires the removal of redundant information as much as possible during the compression process. In video compression, the amount of temporal redundancy is considerable, so eliminating temporal redundancy as much as possible has long been a hot research topic. Most of the current mainstream encoders use inter-frame prediction technology, and use motion estimation, motion compensation and other methods to reduce temporal redundancy. Inter-frame predictive coding technology is the best guarantee for obtaining good coding results. [0003] At present, mainstream encoders use discrete cosine transform (DCT) as a key technology to transform and compress images and residuals between images. Cosine Transform (DCT), quantization, entropy coding. Since tra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/86H04N19/117
CPCH04N19/117H04N19/86
Inventor 周益民冷龙韬王宏宇曾鹏黄航
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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