Stereo image quality evaluation method based on local multivariate Gaussian descriptor

A technology for stereo image and quality evaluation, applied in the field of image processing, can solve the problems of inaccurate acquisition of parallax and depth information, insufficient consideration of binocular characteristics, etc., and achieve the effect of accurate reflection and high consistency
CN107360416AInactive Publication Date: 2017-11-17TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2017-11-17
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a stereo image quality evaluation method based on a local multivariate Gaussian descriptor. The method comprises the following steps: establishing an absolute parallax image according to a stereoscopic parallax perception principle of a human and a parallax matching algorithm; simulating a binocular fusion and binocular competition mechanism of a human eye, filtering left and right views by use of a two-dimensional Gabor filter, and calculating weight factors of right and left viewpoints according to a Gabor response and binocular parallax; synthesizing a stereoscopic perception image; performing 5*5 partitioning on the stereoscopic perception image, performing DCT on each image block, and reorganizing images after the DCT; selecting center coordinates of each image block as coordinates of feature points, and calculating the contrast of each image block; calculating local multivariate Gaussian features of the image; and performing stereo image quality prediction.
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Description

technical field

[0001] The invention belongs to the field of image processing and relates to a three-dimensional image quality evaluation method. Background technique

[0002] In recent years, with the rapid development of multimedia technology, stereoscopic display technology has also been developed. In addition, compared with the visual experience brought by flat images, stereoscopic images are superior, bringing people a more realistic audio-visual experience and on-the-spot experience. Research on stereoscopic image / video processing has attracted people's attention. However, in the process of collecting, storing and transmitting stereoscopic images / videos, due to reasons such as equipment and processing methods, some distortions will inevitably be introduced, thereby affecting the quality of stereoscopic images / videos. Therefore, it is very important to study an evaluation method that can effectively evaluate the quality of stereoscopic images. However, the subjective ...

Claims

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