Stereoscopic image objective quality evaluation method on basis of structural distortion

Abstract

The invention discloses a stereoscopic image objective quality evaluation method on the basis of the structural distortion, which comprises the following steps: firstly, respectively carrying out regional division on left and right viewpoint images of an undistorted stereoscopic image and a distorted stereoscopic image to obtain an eye sensitive region and a corresponding nonsensitive region and then respectively obtaining evaluation indexes of the sensitive region and the nonsensitive region from two aspects of the structural amplitude distortion and the structural direction distortion; secondly, acquiring quality evaluation values of the left and right viewpoint images; thirdly, sampling singular value difference and a mean deviation ratio of residual images of which singular values are deprived to evaluate the distortion condition of the depth perception of a stereoscopic image so as to obtain an evaluation value of stereoscopic perceived quality; and finally, combining the quality of the left and right viewpoint images with the stereoscopic perceived quality to obtain a final quality evaluation result of the stereoscopic image. The method disclosed by the invention avoids simulating each composition part of an eye vision system, but sufficiently utilizes structure information of the stereoscopic image, so the consistency of the objective evaluation result and the subjective perception is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation technology, in particular to an objective quality evaluation method of a stereoscopic image based on structural distortion. Background technique [0002] Stereoscopic image quality evaluation occupies a very important position in stereoscopic image / video systems. It can not only judge the pros and cons of processing algorithms in stereoscopic image / video systems, but also optimize and design the algorithms to improve stereoscopic image / video processing systems. s efficiency. Stereoscopic image quality assessment methods are mainly divided into two categories: subjective quality assessment and objective quality assessment. The subjective quality evaluation method is to carry out a weighted average comprehensive evaluation of the quality of the three-dimensional image to be evaluated by multiple observers. The system is difficult, so it cannot be widely promoted in practical applications. The object...

AI Technical Summary

Problems solved by technology

However, due to the limited understanding of the human visual system, it is difficult to accurately simulate the various components of the human eye, so the agreement between these models and subjective perception is not very good

Images