Stereo-image quality objective evaluation method based on characteristic image

Abstract

The invention discloses a stereo-image quality objective evaluation method based on a characteristic image. Parallax stereograms of an original and undistorted stereo-image and a distorted and to be evaluated stereo-image are respectively calculated, then by means of the minimum changing image which can be observed by eyes of a left eyepoint image of the distorted and to be evaluated stereo-image and a gradient of disparity image of an anaglyph between a left eyepoint image and a right eyepoint image of the original and undistorted stereo-image, a first structure similarity of the two parallax stereograms is calculated, and an objective evaluation value of the image quality of the distorted and to be evaluated stereo-image is obtained. The stereo-image quality objective evaluation method based on a characteristic image has the advantages that the obtained Parallax stereograms can well reflect the effects of different parallax on stereo-image quality, the structure similarity which is calculated and obtained according to the characteristic image can well reflect the changing conditions of stereo-image quality, the evaluation result is enabled to be more accord with a human visual system, and thereby the correlation of the objective evaluation result and the subjective perception is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective image quality evaluation method based on feature maps. 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 of two channels at 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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