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Stereo image quality evaluation method through parallax compensation and inter-viewpoint filtering

A stereoscopic image and parallax compensation technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of immature working mechanism of human visual system

Active Publication Date: 2016-06-08
NINGBO UNIV
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Problems solved by technology

Although the above-mentioned methods describe the stereoscopic perception characteristics of stereoscopic images by simulating the human visual system, the current research on the working mechanism of the human visual system is still immature, so this kind of evaluation method also has certain limitations.

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] The present invention proposes a stereoscopic image quality evaluation method using parallax compensation inter-viewpoint filtering, and its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0046] ① Order S org Denotes the original distortion-free stereo image, let S dis means S org The distorted stereoscopic image after distortion, the S dis As the distorted stereo image to be evaluated, the S org L org , the S org The right-view image of R org , the S dis L dis , the S dis The right-view image of R dis .

[0047] ② with L org As a reference viewpoint image, for R org Perform parallax compensation to get S org The right-viewpoint parallax-compensated image of is denoted as Similarly, with L dis As a reference viewpoint image, for R dis Perform parallax compensation...

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Abstract

The invention discloses a stereo image quality evaluation method through parallax compensation and inter-viewpoint filtering. A high-frequency image and a low-frequency image are obtained by performing parallax compensation and inter-viewpoint filtering on left and right viewpoint images of a stereo image, description of the stereo perception characteristics of the stereo image is completed in the frequency domain, and the quality of the stereo image can be more accurately evaluated; two-dimensional wavelet transformation is performed on the low-frequency image, an approximation coefficient matrix, a horizontal detail coefficient matrix, a vertical detail coefficient matrix and a diagonal detail coefficient matrix are extracted to acquire a part of characteristics, and the characteristics can effectively enhance accuracy of quality evaluation of the distorted stereo image; and the mapping relationship between the characteristic vector of the stereo image and the subjective image quality is constructed by utilizing a support vector regression method so that complex simulation of a human visual system working mechanism can be avoided, excessive dependence on the training process can also be avoided and thus the correlation between the subjective quality and the objective prediction quality can be enhanced.

Description

technical field [0001] The invention relates to a stereoscopic image quality evaluation technology, in particular to a stereoscopic image quality evaluation method using parallax compensation inter-viewpoint filtering. Background technique [0002] With the rapid development of image coding technology and stereoscopic display technology, stereoscopic images and their related applications have increasingly appeared in people's daily life, and have gradually become a research hotspot in the field of image processing. Stereoscopic image technology is based on the principle of binocular parallax of the human eye, using both eyes to independently receive left-viewpoint images and right-viewpoint images from the same scene. Realistic three-dimensional scene. Stereoscopic images will inevitably introduce distortion due to a series of uncontrollable factors in various stages of image acquisition, encoding and compression, network transmission, and decoding and display. Therefore, ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/40
CPCG06T7/0002G06T2207/10012G06T2207/30168
Inventor 宋洋蒋刚毅郁梅彭宗举陈芬王朝云
Owner NINGBO UNIV
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