An objective evaluation method of full-reference stereo image quality based on visual salient image feature enhancement

A technology of stereoscopic images and image features, which is applied in the field of objective evaluation of full-reference stereoscopic image quality, and can solve problems such as imperfect stereoscopic image visual model systems.

Active Publication Date: 2019-03-26
ZHEJIANG UNIV
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Problems solved by technology

However, because the stereoscopic image visual model system is not perfect, the objective ...

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  • An objective evaluation method of full-reference stereo image quality based on visual salient image feature enhancement
  • An objective evaluation method of full-reference stereo image quality based on visual salient image feature enhancement
  • An objective evaluation method of full-reference stereo image quality based on visual salient image feature enhancement

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Embodiment Construction

[0088] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0089] Step (1). Use Matlab software to sequentially read the reference stereo image pairs and corresponding distorted 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 respectively image.

[0090] Step (2). The color space of the stereoscopic image in the step (1) is converted into YIQ color space from the RGB color space, wherein the Y channel indicates the grayscale component of the image, and I and Q represent the color component of the image. The specific conversion formula is as follows:

[0091]

[0092] Step (3). Construct the Log Gabor filter model, carry out convolution operation processing to the gray-scale stereoscopic image obtained by Y channel in step (2), obtain respectively the energy response figure of reference and...

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Abstract

The invention discloses an objective evaluation method of full-reference stereo image quality based on visual salient image feature enhancement. At first, a stereoscopic image is converted from an RGBcolor space to a YIQ color space, The brightness components are extracted from Y-channel to obtain disparity map and visual saliency map, and then the left and right views of Y-channel are fused to obtain the intermediate image, and then the edge/texture and depth information features with significantly enhanced vision are extracted, and similarity measurement is carried out to obtain the corresponding measurement index. Secondly, color information features are extracted from I and Q channels of stereoscopic images, binocular fusion and similarity measurement are carried out, and color information metrics with significantly enhanced vision are obtained. Finally, all the metrics are predicted by support vector regression training, and the objective quality score is obtained. Experiments show that the objective evaluation and the subjective evaluation of the stereoscopic image quality proposed by the invention have good consistency, and the performance is superior to most existing stereoscopic image quality evaluation methods.

Description

technical field [0001] The invention belongs to the fields of image processing technology and computer vision, and in particular relates to a full-reference stereoscopic image quality objective evaluation method based on visually salient image feature enhancement. Background technique [0002] Various distortions will always occur in the process of image sampling, compression, transmission and reproduction of video and image, which will reduce the quality of video and image. Nowadays, human beings have higher and higher requirements for the quality of video and image information, and the requirement for real-time monitoring of image quality in the transmission process of video and images is also becoming more and more urgent. Moreover, with the development of stereoscopic video technology, real-time detection of stereoscopic image quality has become an urgent problem to be solved. Stereoscopic image quality evaluation technology is particularly important in this environment...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10012G06T2207/10024G06T2207/20081G06T2207/30168
Inventor 丁勇孙光明邓瑞喆周一博孙阳阳
Owner ZHEJIANG UNIV
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