Video coding method for reducing coding code rate and system

Abstract

The invention discloses a video coding method for reducing a coding code rate and a system, mainly solving the problems that the video coding code rate is overhigh and the use ratio of transmission bandwidth is lower. The system comprises a coding forward module, a quantization coefficient processing module, a coding and rebuilding module and an entropy coding module, wherein the coding forward module is used for forecasting image initial data, and transforming and quantifying a residual coefficient to obtain quantization coefficients; the quantization coefficient processing module is used for summing the quantization coefficients in subblocks, removing the quantization coefficient of the subblock, the summing value of which is 1, but retaining the quantization coefficients at the top left corners of the subblocks, otherwise has no change; the coding and rebuilding module is used for reversely quantizing and transforming the quantization coefficients obtained by the coding forward module, and rebuilding to obtain a rebuilt pixel of a current macro block; and the entropy coding module is used for entropy coding the quantization coefficients obtained by the quantization coefficient processing module, and submitting information after entropy coding to a network layer to be transmitted. The invention has the advantages of reducing the coding code rate and improving the use ratio of the transmission bandwidth, and can be used for compressing a video of a video coding system.

Description

technical field [0001] The present invention relates to the field of video image processing, in particular to a method for realizing video coding and a coding system, which can be used for video compression processing of an H.264 video coding system. Background technique [0002] The future society will be an information society. Digitized information, especially digitized video and audio information, has the characteristics of massive data, which causes great difficulties in the storage and transmission of information, and becomes one of the bottlenecks that hinder human beings from obtaining and using effective information. Video information has a series of advantages, such as intuition, certainty, high efficiency, extensiveness, etc., but the amount of information is too large. To make the video be effectively applied, the problems of encoding compression ratio and decoding image quality must be solved. These two are two contradictory aspects. Therefore, it will be the...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, after the quantization is completed, the quantization result is usually zig-zag scanned and then sent to the entropy encoding end. Although this can preserve the accuracy and integrity of the image data, it will also cause the bit rate to be too high during the transmission process. High and some redundant detail information that is not easy to be perceived by the naked eye is transmitted, which will cause the encoding bit rate to be too large

In the case of meeting the video quality requirements, if the encoding bit rate is too large, the transmission bandwidth utilization rate will be reduced and channel congestion will be caused when the video bit stream is transmitted.

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