Objective evaluation method for stereo image quality on the basis of image decomposition

Abstract

The invention discloses an objective evaluation method for the stereo image quality on the basis of image decomposition. The objective evaluation method for the stereo image quality on the basis of the image decomposition comprises the following steps: firstly, respectively decomposing the left viewpoint image of a distorted stereo image to be evaluated into a recovery image and an interference image; decomposing the right viewpoint image of the distorted stereo image to be evaluated into a recovery image and an interference image; respectively evaluating the recovery images of the left viewpoint image and the right viewpoint image by adopting the local phase characteristic and the local vibration amplitude characteristic; respectively evaluating the interference images of the left viewpoint image and the right viewpoint image by using a singular value vector; and obtaining the objective evaluation predicted value for the distorted stereo image quality to be evaluated. The objective evaluation method for the stereo image quality on the basis of the image decomposition has the advantages that the recovery images and the interference images obtained by decomposition can better represent the influence of an image detail and redundant information on the image quality, so that an evaluation result can better conform to the human vision system, and therefore the correlation of an objective evaluation result and subjective perception can be effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an image decomposition-based objective evaluation method for stereoscopic image quality. 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 binocular parallax principle 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 a stereoscopic image 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 image quality o...

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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