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12 March 2019 Analysis and application of no-reference image quality assessment
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In the No-Reference Image Quality Assessment, it is important to play a role in accurate positioning accuracy of the algorithm on image quality. Based on the current application of no reference image evaluation algorithm of some mainstream in a public database of research, including based on edge detection, based on energy distribution and based Pixel semaphore. Experiments show that the test accuracy of the algorithm based on edge detection can reach 95% in‘TID2013’data set and 91% in the traffic database and the speed of each picture is 0.002s, which is obviously better than the evaluation algorithm based on energy distribution and the evaluation algorithm based Pixel semaphore. It can be used as the basis of image evaluation for traffic monitoring system.
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Xuanyi Zhang, Weijie Zhou, Jiaxiang Mei, Qing Xue, and Zhijia Zhang "Analysis and application of no-reference image quality assessment", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102305 (12 March 2019);

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