A Stereoscopic Image Quality Evaluation Method Using Disparity Compensation Interview Filtering

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, ...

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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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