A No-Reference Method for Objective Quality Evaluation of Asymmetric Distorted Stereo Images

Abstract

The invention discloses a non-reference asymmetric distorted stereo image objective quality assessment method. The method comprises the following steps: firstly, filtering a left viewpoint image and a right viewpoint image of a to-be-assessed asymmetric distorted stereo image respectively by virtue of a Gabor filter and a Gaussian filter so as to obtain corresponding Gabor filter image and Gaussian image; then, establishing a valid mathematical model integrated with asymmetric distorted stereo visual perception characteristics by simulating a human visual system, and obtaining a left and right viewpoint characteristic integrated image of the to-be-assessed asymmetric distorted stereo image according to the mathematical model; then, carrying out local binarization model operation on the left and right viewpoint characteristic integrated image so as to obtain a local binarization model structural characteristic image, and obtaining a histogram statistic characteristic vector by virtue of a histogram statistic method; and finally, according to the histogram statistic characteristic vector, forecasting an objective quality assessment predicted value by virtue support vector regression. The objective quality assessment method disclosed by the invention has the advantage that the correlation between an objective assessment result and subjective perception can be effectively improved.

Description

technical field [0001] The invention relates to a method for evaluating the objective quality of a stereoscopic image, in particular to a method for evaluating the objective quality of a non-referenced asymmetrically distorted stereoscopic image. Background technique [0002] Since entering the 21st century, with the maturity of stereoscopic image / video system processing technology and the rapid development of computer network and communication technology, people have a strong demand for stereoscopic image / video system. Compared with the traditional single-viewpoint image / video system, the stereoscopic image / video system is more and more popular because it can provide depth information to enhance the visual reality and give users an immersive new visual experience. It is the main development direction of next-generation media, which has aroused extensive attention from academia and industry. However, in order to obtain better stereoscopic presence and visual experience, peo...

AI Technical Summary

Problems solved by technology

Therefore, the existing single-view visual quality no-reference evaluation model cannot be simply extended to the no-reference asymmetric distortion stereoscopic image quality evaluation method

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