Objective three-dimensional image quality evaluation method based on structure and texture separation

Abstract

The invention discloses an objective three-dimensional image quality evaluation method based on structure and texture separation. The method includes the steps that firstly, structure and texture separation is conducted on a left viewpoint image body and a right viewpoint image body of an original undistorted three-dimensional image and a left viewpoint image body and a right viewpoint image body of a distorted three-dimensional image to be evaluated to obtain structure images and texture images of the left viewpoint image bodies and structure images and texture images of the right viewpoint image bodies; gradient similarity is used for evaluating the structure images of the left viewpoint image bodies and the structure images of the right viewpoint image bodies respectively, structural similarity is used for evaluating the texture images of the left viewpoint image bodies and the texture images of the right viewpoint image bodies, and an objective image quality evaluation prediction value of the distorted three-dimensional image to be evaluated is obtained through fusion. The objective three-dimensional image quality evaluation method based on structure and texture separation has the advantages that the structure images obtained through decomposition and the texture images obtained through decomposition can well represent influences on image quality of image structure and texture information, so that it seems that an evaluation result better conforms to a human visual system, and therefore the relevance of the objective evaluation result and subjective perception is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method of stereoscopic image quality based on structure texture separation. Background technique [0002] With the rapid development of image coding technology and stereoscopic display technology, stereoscopic image technology has received more and more attention and applications, and has become a current research hotspot. Stereoscopic image technology utilizes the principle of binocular parallax of the human eye. Both eyes independently receive left and right viewpoint images from the same scene, and form binocular parallax through brain fusion, so as to enjoy stereoscopic images with a sense of depth and realism. . Due to the influence of acquisition system, storage compression and transmission equipment, stereoscopic images will inevitably introduce a series of distortions. Compared with single-channel images, stereoscopic images need to ensure the...

AI Technical Summary

Problems solved by technology

[0003] The current objective evaluation method of stereoscopic image quality is to directly apply the planar image quality evaluation method to evaluate the quality of stereoscopic images, or to evaluate the depth perception of stereoscopic images by evaluating the quality of disparity maps. However, the process of fusion of stereoscopic images to produce stereoscopic It is not an extension of the simple planar image quality evaluation method, and the human eye does not directly view the disparity map, and it is not very accurate to evaluate the depth perception of the stereoscopic image by the quality of the disparity map

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