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12 December 2018 A non-reference image quality objective evaluation algorithm based on neural network
Longjia Qiu M.D., Dezhao Zhou, Baolin Du, Wei Yan
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Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 1084604 (2018) https://doi.org/10.1117/12.2502140
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China
Abstract
In this paper, subjective and objective image quality evaluation algorithms are reviewed, and point out the disadvantages of these algorithms. Aim at infrared image and human visual system, a non-reference image quality objective evaluation algorithm based on neural network is proposed, which is optimized from histogram, information entropy and wavelet transform algorithms. According to NIIRS, the algorithm is optimized after a lot of machine study works have been done. The experiment results are very similar with the results from NIIRS, a fast algorithm for image quality evaluation is implemented.
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Longjia Qiu M.D., Dezhao Zhou, Baolin Du, and Wei Yan "A non-reference image quality objective evaluation algorithm based on neural network", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 1084604 (12 December 2018); https://doi.org/10.1117/12.2502140
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KEYWORDS
Image quality
Evolutionary algorithms
Neural networks
Image analysis
Image information entropy
Image quality standards
Image processing
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