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Underwater image enhancement algorithm based on granular computing
Author(s): Yingjuan Xie; Xinnan Fan; Haiyan Xu; Zhuo Zhang; Junfeng Chen
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Paper Abstract

Due to the light scattering and absorption, underwater images were blurred such as fog, uneven illumination, overexposure or lack of light. We proposed an image enhancement algorithm based on granular computing to enhance underwater optical image in this paper. First, the illumination information of underwater image was extracted. Then, we dividing the illumination information into granularity of different sizes from wide to thin by calculated the effectiveness indicators. Finally, by calculating their value and compensation for each granularity, we obtained the adaptive enhancement image. The simulation and experiment results verify the effectiveness of the algorithm.

Paper Details

Date Published: 24 April 2018
PDF: 4 pages
Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111Q (24 April 2018); doi: 10.1117/12.2316617
Show Author Affiliations
Yingjuan Xie, Hohai Univ. (China)
Xinnan Fan, Hohai Univ. (China)
Haiyan Xu, Hohai Univ. (China)
Zhuo Zhang, Hohai Univ. (China)
Junfeng Chen, Hohai Univ. (China)

Published in SPIE Proceedings Vol. 10711:
Biomedical Imaging and Sensing Conference
Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo, Editor(s)

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