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Proceedings Paper

Adaptive underwater image recovery using polarimetric imaging
Author(s): Zheng Liang; Congcong Zhao; Yafei Wang; Xueyan Ding; Zetian Mi; Xianping Fu
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Paper Abstract

Underwater image generally suffers from color degradation and poor visibility due to the attenuation and scattering of the propagated light. To restore the real environment of the underwater, most of previous methods only consider the scattering in the polarimetric image recovery model. To compensate for the absorption in different wavelengths, a simple but effective underwater image enhancement method that based on the adaptive polarimetric image recovery model is proposed in this paper. In order to achieve automatic estimation of model parameters, the backscattered light estimation is based on the quad-tree decomposition to extract the fully backscattered area automatically. The experimental results demonstrate that the visual quality of underwater images are efficiently enhanced.

Paper Details

Date Published: 6 May 2019
PDF: 7 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110692L (6 May 2019); doi: 10.1117/12.2524394
Show Author Affiliations
Zheng Liang, Dalian Maritime Univ. (China)
Congcong Zhao, Dalian Maritime Univ. (China)
Yafei Wang, Dalian Maritime Univ. (China)
Xueyan Ding, Dalian Maritime Univ. (China)
Zetian Mi, Dalian Maritime Univ. (China)
Xianping Fu, Dalian Maritime Univ. (China)

Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

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