Three-dimensional image objective quality evaluation method

Abstract

The invention discloses a three-dimensional image objective quality evaluation method, which comprises the following steps: respectively carrying out wavelet transformation on left view point images and right view point images of undistorted three-dimensional images and distorted three-dimensional images; extracting characteristic values of each sub band; carrying out similarity measurement on the characteristic values; determining the weight factors of each sub band by contrast sensitive functions; then, realizing the evaluation on the three-dimensional sensing quality through evaluating the absolute difference image similarity of left images and right images of the undistorted three-dimensional images and the distorted three-dimensional images; and finally, combining the quality of the left images and the right images and the three-dimensional sensing quality to obtain the final evaluation results of the three-dimensional image quality. The invention has the advantages that the human eye visual characteristics such as human visual sensitivity bandpass, the multi-channel effect, the three-dimensional sensation and the like are utilized, the three-dimensional sensation is simultaneously evaluated on the basis of the evaluation on the quality of the left view point images and the right view point images, the influence of the three-dimensional sensation in the three-dimensional images on the final three-dimensional image quality is merged into an evaluation model, and the correlativity of the objective evaluation results and the subjective sensation is improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective quality evaluation method of a stereoscopic image. Background technique [0002] Image quality evaluation is a research hotspot in the field of image processing. Image quality is an important indicator for comparing the performance of various image processing algorithms and optimizing system parameters. Therefore, an effective image quality evaluation mechanism is established in the fields of image acquisition, encoding compression, and network transmission. has great significance. With the vigorous development of multimedia technology and Internet technology, stereoscopic video technology is developing rapidly. Compared with traditional media, stereoscopic video can create a more intuitive and realistic scene experience for the public, but it needs to process at least twice as much data. Therefore, while improving the encoding and compression efficiency of ste...

AI Technical Summary

Problems solved by technology

Compared with the quality evaluation of plane images, there are relatively few studies on the quality evaluation of stereoscopic images at home and abroad. Most of the objective evaluation models do not combine the visual characteristics of the human eye, or only evaluate the image quality without evaluating the stereo perception, resulting in the final objective evaluation results. Correlates poorly with subjective perception

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