Video Coding Reference Block Filtering Method

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...

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

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