Method for evaluating quality of stereo image based on binocular information processing

Abstract

The invention discloses a method for evaluating the quality of a stereo image based on binocular information processing. The method comprises the steps that simple cell information matrixes are obtained through complex wavelet transform and complex cell information matrixes are formed through collection of coefficients of complex wavelet transform; on the basis of the complex cell information matrixes, two aspects are evaluated, in the first aspect, the binocular complex cell information matrixes are blended, so that a binocular blended image is obtained, and according to the fact that the human eyes has different degrees of visual sensitiveness to binocular information in different frequencies, the evaluated quality of the binocular blended image is finally obtained; in the second aspect, binocular stereo perceptual information is extracted from each complex cell information matrix, with the consideration of the stereoscopic parallax angle and with the combination of the binocular masking characteristic, the human eyes can be influenced by the background luminance, the texture mask, the space contrast ratio and the like in the visual perception process, and the evaluated quality of stereo vision perception is obtained; finally, with the combination of the evaluations obtained from the two aspects, a final stereo image quality evaluation result is obtained and the uniformity of the evaluation result and the subjective perceptive performance of the human eyes is good.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a stereoscopic image quality evaluation method based on binocular information processing. Background technique [0002] With the rapid development of multimedia communication technology and image processing and display technology, stereoscopic images have gradually been integrated into human social life, such as in cameras, mobile phones, and film and television. However, stereoscopic images will cause different degrees and types of distortion in the process of image acquisition, compression, encoding, transmission, display, etc., so how to evaluate the quality of stereoscopic images in these links has become a key issue in the image field; in addition, stereoscopic images Quality assessment plays a central role in shaping most processing algorithms and systems. [0003] At present, the methods of stereoscopic image quality evaluation can be roughly divided into three catego...

AI Technical Summary

Problems solved by technology

Among them, the commonly used method in the 2D-based evaluation method is to directly use the classic planar image quality evaluation method to evaluate the quality of the stereoscopic image. The biggest difference between the stereoscopic image and the planar image is that the stereoscopic image has a sense of depth and presence. However, this The method lacks consideration of the depth perception of stereoscopic images, so the consistency between the objective quality evaluation results of this method and subjective perception is not very good

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