Loop filtering method based on image macro block coding mode decision

Abstract

The invention discloses a loop filtering method based on an image macro block coding mode decision, and is applied to an appeared diamond effect after video data flow over quantification / inverse quantization. The method comprises the following steps: (1) designing a model; (2) carrying out mode type classification on a present frame; (3) carrying out pre-filtering; (4) carrying out filtering; (5)determining whether to carry out loop filtering or not. According to the invention, characteristics of an image are fully taken into consideration, tedious decision of a present method is reduced andnoise brought by video compression is effectively filtered simultaneously, and realization complexity of a filter is reduced.

Description

technical field [0001] The present invention relates to the technical field of video coding and decoding, in particular to a loop filtering method and filter based on image macroblock coding mode decision. Background technique [0002] Video data has a huge amount of data, which is unbearable for the current limited transmission bandwidth or storage space, which makes video compression coding technology a hot spot of research and application at home and abroad. The current video coding standard adopts a block-based coding method. During the coding process, since the quantization process of the block transform coefficients is relatively rough, the transform coefficients restored by the inverse quantization process have errors, resulting in discontinuity on the image block boundary, that is, block effect. In order to reduce the blocking effect, a deblocking filter is employed to alleviate the blocking effect caused by video compression. However, the deblocking filter does not...

AI Technical Summary

Problems solved by technology

However, the deblocking filter does not have the characteristics of frequency selection, so it cannot optimize the suppression of the quantization noise that causes the blocking effect.

Therefore, in video coding technology, a loop filter is used to improve the objective quality of the reconstructed image. The existing loop filter does not fully analyze the content characteristics of the video image by using the existing coding information of the image block, and the implementation is relatively complicated. Suppressing noise can cause blurring of edges and textures

[0003] It can be seen that the above-mentioned existing loop filter obviously still has inconvenience and defects in structure and use, and needs to be further improved urgently.

In order to solve the problems existing in the loop filter, relevant manufacturers have tried their best to find a solution, but no suitable design has been developed for a long time, and general products do not have a suitable structure to solve the above problems. Obviously, it is a problem that relevant industry players are eager to solve.

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