An Objective Evaluation Method of Blind Stereo Image Quality Based on Stereo Vision Perception

Abstract

The invention discloses a total blindness three-dimensional image quality objective evaluation method based on three-dimensional visual perception. The method comprises the following steps: at a training stage, acquiring a mean-removed normalized image of a fusion viewpoint image of each original undistorted three-dimensional image, inputting the mean-removed normalized images into an empirical density function to obtain texture information vectors, performing filter processing in four directions to obtain direction information vectors, and inputting all the texture information vectors and direction information vectors into a Gaussian distribution model in order to obtain an undistorted Gaussian distribution model; and at a testing stage, obtaining a distorted Gaussian distribution model in the same way, measuring an error between the undistorted Gaussian distribution model and the distorted Gaussian distribution model through a Mahalanobis distance formula, and taking the error as an image quality objective evaluation predicted value of a distorted three-dimensional image to be evaluated. The method has the advantages that a three-dimensional visual perception characteristic can be fully considered, so that relevance between an objective evaluation result and subjective perception can be enhanced effectively.

Description

technical field [0001] The invention relates to an objective evaluation method for stereoscopic image quality, in particular to an objective evaluation method for blind stereoscopic image quality based on stereoscopic vision perception. Background technique [0002] Since entering the 21st century, with the maturity of stereoscopic image / video system processing technology and the rapid development of computer network and communication technology, people have a strong demand for stereoscopic image / video system. Compared with the traditional single-viewpoint image / video system, the stereoscopic image / video system is more and more popular because it can provide depth information to enhance the visual reality and give users an immersive new visual experience. It is considered to be the main development direction of the next-generation media, and has aroused widespread concern in the academic and industrial circles. However, in order to obtain better stereoscopic presence and vi...

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Problems solved by technology

[0003] At present, researchers have proposed many no-reference evaluation methods for single-viewpoint image quality. However, due to the lack of systematic theory to study the characteristics of stereo vision perception, there is no effective no-reference stereo image quality evaluation method.

The existing no-reference stereoscopic image quality evaluation methods mainly use machine learning to predict the stereoscopic image quality, which not only has high computational complexity, but also requires a test database (including a large number of distorted stereoscopic images of different distortion types and corresponding subjective evaluation values), This makes the no-reference stereoscopic image quality evaluation method not suitable for practical applications and has certain limitations

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