21 July 2017 Compressive imaging based on clustering sub-dictionary learning and gradient histogram preservation
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042033 (2017) https://doi.org/10.1117/12.2281713
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
This paper proposes a novel imaging technique which combines clustering sub-dictionary learning and gradient histogram preservation to improve the quality of compressive imaging from two aspects: edge sharpness and noise suppression. Practical experiments further demonstrate better results on practical optical imaging application in terms of weighted peak signal-to-noise ratio and measure of feature similarity index.
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Qinfen Yao, Qinfen Yao, Guohua Gu, Guohua Gu, Yicheng Sun, Yicheng Sun, Xiubao Sui, Xiubao Sui, } "Compressive imaging based on clustering sub-dictionary learning and gradient histogram preservation", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042033 (21 July 2017); doi: 10.1117/12.2281713; https://doi.org/10.1117/12.2281713
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