Stereo image objectivity quality evaluation method based on visual perception

Abstract

The invention discloses a stereo image objectivity quality evaluation method based on visual perception. Based on two parts of a left and right viewpoint image quality and depth perception, the left and right viewpoint image quality is used to capture multi-scale structure information so that a difference of a structure similarity of an original and distortion stereo image pair can be effectively reflected. The stereo depth perception is caused by the subtle difference existed in the image seen by left and right eyes of human beings. Through comparing a brightness distortion of original and distortion absolute difference value images, a structure distortion and a sensitivity distortion, a depth perception evaluation value can be acquired. Then, nonlinear fitting is performed on the evaluation values of the two parts so as to obtain a final stereo image quality evaluation index. Because the method combines the specific depth perception characteristic of the stereo image and a objective evaluation model result of the image quality loss characteristic, the quality of the stereo image and the depth perception can be reflected. Therefore, the evaluation result can objectively reflect stereo image processing or influence of a compression algorithm on stereo image quality change.

Description

technical field [0001] The invention relates to a stereoscopic image quality evaluation technology, in particular to an objective quality evaluation method of a stereoscopic image based on visual perception. Background technique [0002] With the rapid development of Internet, communication and multimedia information technology, stereoscopic images that enhance visual fidelity and presence are the development direction of next-generation digital media technology. At the same time, the market's demand for the development and application of stereoscopic video systems is becoming more and more urgent, such as in stereoscopic digital TV, distance education, remote industrial control, 3D video conferencing systems, virtual reality systems, telemedicine, remote control robots, automatic navigation, consumer Electronics and many other fields have broad application prospects. Stereoscopic image quality evaluation plays an important role in the related fields of image processing, an...

AI Technical Summary

Problems solved by technology

At present, the objective quality evaluation of stereoscopic images is mainly based on the migration of planar image quality evaluation algorithms, without considering the unique depth perception characteristics of stereoscopic images and making full use of the human visual perception characteristics, so the consistency between the objective quality evaluation model and subjective perception is not very good

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