Objective evaluation method of no-reference stereo image quality based on binocular visual perception

Abstract

The invention discloses a no-reference objective three-dimensional image quality evaluation method based on binocular visual perception. The method comprises the steps of constructing a converging one-eyed image of a distorted three-dimensional image by using an energy gain control model, and constructing left and right disparity images and indefinite left and right images by using left and right viewpoint images; then extracting a curvelet domain feature from the converging one-eyed image, and separately extracting a generalized Gaussian fitting parameter feature and a lognormal distribution fitting parameter feature from the left and right disparity images and the indefinite left and right images, wherein the three features are used as three-dimensional image feature information; and finally, constructing a relation between three-dimensional image features and average subjective scoring differences through support vector regression to obtain an objective quality evaluation predicted value of the distorted three-dimensional image. The method has the advantages that the acquired feature vector of the distorted three-dimensional image has strong stability and can reflect the quality change condition of the distorted three-dimensional image, the objective evaluation has good consistency with subjective perception of human eyes, and the correlation between the objective evaluation result and the subjective perception is improved.

Description

technical field [0001] The invention relates to a method for evaluating the quality of a stereoscopic image, in particular to an objective evaluation method for the quality of a stereoscopic image without reference based on binocular visual perception. Background technique [0002] The rapid development of the digital information age has led to an upsurge of research in the field of images. The process of image acquisition, compression, processing, transmission, storage and display will inevitably bring different degrees and types of distortion, and these distortions will directly affect the quality of the image. Therefore, designing an effective image quality evaluation mechanism is an important part of the image / video system. Image quality objective evaluation methods can be divided into full-reference, semi-reference and no-reference types. The evaluation results of the full-reference image quality objective evaluation method are relatively accurate and feasible, but be...

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Problems solved by technology

In addition to stereoscopic content (depth or parallax), there are some important issues: firstly, the observer may encounter binocular competition, binocular suppression, etc. when viewing stereoscopic content, which will affect the quality of stereo perception; secondly, stereoscopic The visual perception quality of an image may involve the interaction among depth quality, planar quality and stereoscopic quality; moreover, observers may experience visual discomfort and fatigue when viewing distorted stereoscopic images, thus affecting the subjective quality of stereoscopic images. negative impact on quality

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