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Proceedings Paper

Compressive imaging based on clustering sub-dictionary learning and gradient histogram preservation
Author(s): Qinfen Yao; Guohua Gu; Yicheng Sun; Xiubao Sui
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Paper 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.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042033 (21 July 2017); doi: 10.1117/12.2281713
Show Author Affiliations
Qinfen Yao, Nanjing Univ. of Science and Technology (China)
Jiangsu City Vocational College (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Yicheng Sun, Nanjing Univ. of Science and Technology (China)
Xiubao Sui, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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