No-reference objective video quality assessment method

Abstract

The invention discloses a no-reference objective video quality assessment method. According to the assessment method, video files are processed and calculated respectively based on a plurality of quality parameters for assessing video quality, and the values of the calculated quality parameters are synthesized into a final video quality assessment value, wherein the quality parameters comprise block effect, signal-to-noise ratio, contrast and edge energy. The method comprises the following steps of: performing sub-frame pre-processing on the video files, then extracting the values of the quality parameters, and finally acquiring a numerical value capable of objectively assessing the video quality by linear fitting. The quality of the distorted video is assessed according to a human visionsystem and signal-to-noise ratio, block effect, contrast and edge energy and the like; and the method is higher in accuracy, more comprehensive in analysis and more consistent with the subjective feeling of the human being, and the effect of the method can be matched with full reference assessment.

Description

technical field [0001] The invention relates to the field of video quality assessment, in particular to an objective assessment method for video quality without reference. Background technique [0002] In the field of video evaluation, it is mainly divided into subjective quality evaluation and objective quality evaluation. The subjective quality evaluation is too complicated and its results are easily affected by many factors, while the objective quality evaluation is to compare the distorted video with the corresponding original reference video. It is more objective to compare and draw conclusions based on the degree of similarity. Video objective quality assessment can be divided into three categories of methods: full-reference methods, partial-reference methods, and no-reference methods. Judging from the evaluation results, among most current evaluation algorithms, the results of the full-reference evaluation method are closer to the results of human subjective feelings...

AI Technical Summary

Problems solved by technology

However, only a few institutions have proposed such no-reference video quality assessment methods, and most of them are based on the characteristics of certain characteristic distortion types in video series, and determine the severity of feature distortion through video processing and analysis. In order to estimate the quality of the video, the result is not accurate enough, the problems considered are not comprehensive enough, and it cannot well reflect the subjective feelings of human beings, and has certain limitations.

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