Objective evaluation method for quality of stereo images

Abstract

The invention discloses an objective evaluation method for the quality of stereo images. The method comprises the following steps of: firstly, respectively extracting a characteristic vector of Gaussian Blur distortion level reflecting the image quality, a characteristic vector of white noise distortion level reflecting the image quality, a characteristic vector of JPEG (Joint Photographic Experts Group) distortion level reflecting the image quality and a characteristic vector of JPEG2000 distortion level reflecting the image quality of the stereo images, so as to obtain a characteristic vector of the stereo images; and testing each distorted stereo image of the same distortion type by a support vector regression training model to get an objective quality evaluation predictive value of each distorted stereo image. The method has the advantages that, in the method, based on the influence of different distortion types on the distorted stereo images, the characteristic information of different distortion types is extracted to form the characteristic vector of the stereo images, so that the obtained characteristic information of the stereo images has strong stability and can reflect the quality variation status of the stereo images better, and the relevancy of the objective evaluation result and the subjective perception is improved.

Description

Technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method of stereo image quality. Background technique [0002] With the rapid development of image coding technology and stereo display technology, stereo image technology has received more and more attention and applications, and has become a current research hotspot. Stereoscopic image technology uses the principle of binocular parallax of the human eye. The binoculars independently receive the left and right viewpoint images from the same scene, and the binocular parallax is formed through brain fusion, so that you can enjoy the stereoscopic image with a sense of depth and life. Due to the influence of the 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 both channels at the ...

AI Technical Summary

Problems solved by technology

[0003] The current objective evaluation method of stereoscopic image quality assumes that the original undistorted image exists. This evaluation method is a relatively mature evaluation method at present, and can often obtain relatively satisfactory evaluation results. However, in practical applications, it is often impossible to obtain test images. Therefore, the quality evaluation needs to solve the following problems: 1) How to extract the stereoscopic image features reflecting different degrees of distortion to evaluate the quality of the stereoscopic image, so that the size of the feature can correctly reflect the distortion of the stereoscopic image 2) How to extract stereoscopic image features that reflect different types of distortion to evaluate the quality of stereoscopic images, so that the described features can correctly reflect the information of various types of distortion

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