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Reference-free stereo image quality objective evaluation method

A technology for objective quality evaluation and stereoscopic images, which is used in image analysis, image enhancement, image data processing, etc.

Active Publication Date: 2016-10-12
嘉兴智旭信息科技有限公司
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Problems solved by technology

Therefore, it is not possible to simply extend the existing single-view visual quality no-reference evaluation model directly to the no-reference stereo image quality evaluation method

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  • Reference-free stereo image quality objective evaluation method
  • Reference-free stereo image quality objective evaluation method
  • Reference-free stereo image quality objective evaluation method

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] A method for objectively evaluating the quality of stereoscopic images without reference proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes two processes of training phase and testing phase. The specific steps of the described training phase are:

[0032] ①_1. Select K original undistorted stereoscopic images with a width of W and a height of H, and record the left viewpoint image and right viewpoint image of the kth original undistorted stereoscopic image as {L org，k (x,y)} and {R org，k (x, y)}, wherein, K≥1, K=10 in this embodiment, 1≤k≤K, 1≤x≤W, 1≤y≤H, L org，k (x, y) means {L org，k (x, y)} The pixel value of the pixel whose coordinate position is (x, y), R org，k (x, y) means {R org，k The pixel value of the pixel whose coordinate position is (x, y) in (x, y)}.

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Abstract

The invention discloses a reference-free stereo image quality objective evaluation method. At a training phase, a visual dictionary quality parallel table is obtained by obtaining a similarity image between a binocular competition response characteristic graph of each original undistorted stereo image and a binocular competition response characteristic graph of each distortion stereo image corresponding to each original undistorted stereo image, and a histogram characteristic vector of a local binary mode of the binocular competition response characteristic graph of each distortion stereo image corresponding to each original undistorted stereo image; and at a test phase, for any one distortion stereo image, a histogram characteristic vector corresponding to the distortion stereo image is obtained first of all, and then according to the constructed visual dictionary quality parallel table, an object quality evaluation prediction value of the distortion stereo image is obtained. The method has the following advantages: the calculation complexity is reduced, and since a stereo visual perception characteristic is taken into full consideration, correlation between an object evaluation result and subjective perception can be effectively improved.

Description

technical field [0001] The invention relates to a method for objectively evaluating the quality of a stereoscopic image, in particular to a method for objectively evaluating the quality of a stereoscopic image without reference. 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 visual exp...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10021G06T2207/20081G06T2207/30168
Inventor 周武杰潘婷张爽爽蔡星宇顾鹏笠郑飘飘岑岗王中鹏周扬吴茗蔚邱薇薇陈芳妮郑卫红陈寿法陶坚葛丁飞
Owner 嘉兴智旭信息科技有限公司
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