All-reference three-dimensional image quality objective evaluation method based on visual salient feature extraction

A technology of objective quality evaluation and feature extraction, which is applied in the field of image processing and can solve problems such as the imperfection of the stereoscopic image visual model system

Active Publication Date: 2018-01-12
ZHEJIANG UNIV
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Problems solved by technology

However, since the research hotspots at home and abroad are mainly focused on full-reference and non-reference stereoscopic image quality evaluation measurement methods, among them, there are more studies on full-reference image quality evaluation, and the technology is relatively matur

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  • All-reference three-dimensional image quality objective evaluation method based on visual salient feature extraction
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  • All-reference three-dimensional image quality objective evaluation method based on visual salient feature extraction

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Embodiment Construction

[0082] The method of the present invention will be further described below in conjunction with the drawings.

[0083] Step (1). Use Matlab software to sequentially read the reference stereo image pairs and corresponding distortion stereo image pairs of Phase I and Phase II in the 3D LIVE image database of the University of Texas at Austin, where each stereo image pair includes left and right views. image.

[0084] Step (2). Construct a Log Gabor filter model, perform convolution processing on the stereo image pair in step (1), and obtain the energy response maps of the left and right views in the reference and distorted stereo image pairs respectively;

[0085] The expression of Log Gabor filter is as follows:

[0086]

[0087] Where f 0 And θ 0 Is the center frequency and azimuth angle of Log Gabor filter, σ θ And σ f Respectively represent the azimuth bandwidth and radial bandwidth of the filter, f and θ represent the radial coordinate and azimuth angle of the filter, respectively. ...

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Abstract

The invention discloses an all-reference three-dimensional image quality objective evaluation method based on visual salient feature extraction. According to the method, a left view and a right view of a three-dimensional image pair are processed to obtain a corresponding disparity map; image fusion is performed on the left view and the right view of the three-dimensional image pair to obtain an intermediate reference image and an intermediate distortion image; a spectral residual visual saliency model is utilized to obtain a reference saliency map and a distortion saliency map, and a visual saliency map is obtained through integration; visual information features are extracted from the intermediate reference image and the intermediate distortion image, and depth information features are extracted from the disparity map of the three-dimensional image pair; similarity measurement is performed to obtain measurement indexes of all the visual information features of vision saliency enhancement; and support vector machine training prediction is performed, an objective quality score is obtained, mapping of three-dimensional image quality is realized, and measurement and evaluation of three-dimensional image quality are completed. Through the method, image quality objective evaluation and subjective evaluation have good consistency, and the performance is superior to that of existingthree-dimensional image quality evaluation methods.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for objectively evaluating the quality of a full-reference stereo image based on visually significant feature extraction. Background technique [0002] In the process of image sampling, transmission, compression and reproduction, images will always have various distortions, and humans have higher and higher requirements for the quality of image information. Therefore, with the development of 3D video and technology, the quality of stereo images Evaluation technology is becoming more and more important in human social life. Because the subjective stereoscopic image quality evaluation method requires the human observer to provide a subjective quality score for each image. These methods have shortcomings such as time-consuming and weak real-time performance. It is very necessary to develop an objective stereoscopic image quality evaluation method to realize...

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Application Information

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IPC IPC(8): G06T7/00G06T5/50
Inventor 丁勇孙光明胡拓孙阳阳周一博邓瑞喆
Owner ZHEJIANG UNIV
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