Structural Similarity Based Perceptual Rate Control Optimization Method for Efficient Video Coding

Abstract

A structural similarity-based efficient video code perceiving code rate control optimizing method comprises the following steps of when the code rate of the largest coding unit level is allocated, utilizing the structural similarity as the evaluation standard for the image distortion to compute the distortion of the largest coding unit of the image, and utilizing the structural similarity to replace the image distortion in the code rate allocation of a coding end of an efficient video coder to compute the code rate and control the allocated weight of the code rate of the largest coding unit level in an R-lambda model; before a mode is judged, using the structural similarity as the evaluation standard for the image distortion to compute the image distortion, and the utilizing the structural similarity to replace the code image distortion in the code rate distortion judgment of the coding end of the efficient video coder. The structural similarity-based efficient video code perceiving code rate control optimizing method is reasonable in design, so the code rate allocation is more efficient and accurate and the perceiving visual quality of the coding image is improved under the condition of the same code rate; the video subjective quality can be improved under the condition of the same code rate, or the code rate can be averagely reduced by 12% under the condition of the same structural similarity.

Description

technical field [0001] The invention belongs to the technical field of video coding and decoding, in particular to a high-efficiency video coding perceptual code rate control optimization method based on structural similarity. Background technique [0002] In recent years, high-definition / ultra-high-definition video coding technology, as the basic core technology of future home theater, digital broadcast TV, network video, high-definition movie and other services, has become the focus of the industry. For high-definition / ultra-high-definition video communication, there is still a certain gap between the compression ratio of the existing video coding standards and the actual application requirements. To this end, the International Organization for Standardization ISO / IEC (MPEG) and ITU-T initiated the planning of the next-generation digital video compression standard - High Efficiency Video Coding (HEVC), aiming at H.264 / AVC high-level Basically, the compression efficiency i...

AI Technical Summary

Problems solved by technology

This description method has the advantages of simple calculation and easy implementation, but it cannot reflect the subjective visual characteristics of the human eye very well.

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