Stereoscopic video quality objective evaluation method based on wavelet transformation

Abstract

The invention discloses a stereoscopic video quality objective evaluation method based on wavelet transformation. Brightness value of pixel points in a left view point image and brightness value of pixel points in a right view point image in stereo images are fused by means of a binocular brightness information fusion mode to obtain a binocular fusion brightness image of the stereo images, the problem of difficult stereo perceived quality evaluation in stereoscopic video quality evaluation can be solved to a certain degree, the accuracy of stereoscopic video objective quality evaluation is effectively improved, when weighting is performed on qualities of each frame group in binocular fusion brightness image video that distorted stereoscopic video corresponds to, sensitivity level of human eye visual characteristics to all kinds of information in videos is fully considered, weight of each frame group is determined by means of sports intensity and brightness difference, and thereby, the stereoscopic video quality evaluation method is further suitable for human eye subjective perception characteristics.

Description

technical field [0001] The invention relates to a method for evaluating the quality of stereoscopic video, in particular to an objective method for evaluating the quality of stereoscopic video based on wavelet transform. Background technique [0002] With the rapid development of video coding technology and display technology, various video systems have been widely used and concerned, and have gradually become the research focus in the field of information processing. Stereoscopic video has gained more and more people's favor because of its outstanding viewing experience, and the application of its related technologies has been integrated into current social life in large quantities, such as stereoscopic TV, stereoscopic film, naked eye 3D, etc. However, in the process of capturing, compressing, encoding, transmitting, and displaying stereoscopic video, various degrees and types of distortion will inevitably be introduced due to a series of uncontrollable factors. Therefore...

AI Technical Summary

Problems solved by technology

At present, most of the stereoscopic video quality evaluation methods simply use the planar video quality evaluation method to evaluate the quality of the left view point and the quality of the right view point respectively. The effect of depth perception in stereoscopic video on the quality of stereoscopic video, so the accuracy is poor

Although some methods take into account the relationship between binoculars, the weighting process between the left and right viewpoints is unreasonable, and it is difficult to accurately describe the perception characteristics of the human eye for stereoscopic video, and most of the current methods for evaluating the quality of stereoscopic video Time-domain weighting processing is just a simple average weighting, but in fact, the human eye's time-domain perception of stereoscopic video is not just a simple average weighting

Therefore, the existing objective evaluation methods for stereoscopic video quality cannot accurately reflect the perception characteristics of the human eye, and the objective evaluation results are not accurate enough.

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