Advanced visual characteristic based non-reference image definition evaluation method
A technology for sharpness evaluation and visual characteristics, applied in image enhancement, image analysis, image data processing and other directions, it can solve the problems of high computational complexity, limited application scope, and reduce the accuracy of image sharpness evaluation, and achieve low computational complexity. , the effect of superior accuracy and robustness
Active Publication Date: 2016-07-06
CHINA JILIANG UNIV
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Problems solved by technology
At present, the existing spatial domain methods widely use the image feature of the gray scale change rate map, but because the gray scale conversion process of the color image often causes the loss of important visual information, the accuracy of the image definition evaluation is reduced.
In addition, most of the existing transform domain methods have limited application range due to their shortcomings such as high computational complexity.
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[0032] The technical solutions of the present invention will be clearly and completely described below through specific embodiments in conjunction with the accompanying drawings.
[0033] The operation flow of the no-reference image sharpness evaluation method based on advanced visual characteristics proposed by the present invention is as follows: figure 1 as shown, figure 2 For the input image g, the main steps are as follows:
[0034] 1. Calculate the color change rate map of the input image
[0035] For an input image g with a size of 512 pixels in width and 512 pixels in height, the spatial coordinates of its pixels are denoted by (x, y); the spatial coordinates of pixels in the 3 by 3 window neighborhood of this coordinate are denoted by (i, j).
[0036] First use the following single-channel change rate operator to calculate the change rate V(x, y) on each channel of R, G, and B:
[0037] V(x,y)=max{|g x，y -g i，j |, i=x-1, x, x+1, j=y-1, y, y+1},
[0038] Then ca...
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The present invention discloses an advanced visual characteristic based non-reference image definition evaluation method, and relates to image quality evaluation technologies. The method comprises: firstly, calculating a color change rate map of each pixel point, wherein the color change rate map is used for describing local definition and global structure information; and simulating an advanced visual activity by combining a psychological visual redundancy characteristic with a locally excitatory globally inhibitory mechanism of a neuron activity. The proposed method coincides with subjective evaluation, and has more excellent accuracy and robustness compared with the existing method. An optimized calculation formula is used in the method, so that the method is simpler and more efficient for implementation and lower in calculation complexity and has relatively great values for theoretical researches such as image quality evaluation and practical engineering application such as automated production and the like.
Description
technical field [0001] The invention relates to the field of image quality evaluation, in particular to a reference-free image definition evaluation method. Background technique [0002] Digital images may be distorted in every link from acquisition, processing, storage and transmission to display. These distortions not only affect the visual experience, but also affect the performance of image analysis and understanding algorithms at a higher semantic level, whose clarity needs to be accurately and objectively evaluated. At the same time, the clarity of the image has increasingly become the main index to measure the quality of the digital imaging system. Since it is difficult to obtain the undistorted original image corresponding to the distorted image in most cases, the sharpness evaluation without reference image has become a research topic, and has become a research difficulty and hot spot in the field of image quality evaluation. [0003] Since there is no original im...
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 应凌楷李子印张聪聪张刘刘
Owner CHINA JILIANG UNIV