Adaptive underwater image recovery using polarimetric imaging

Zheng Liang; Congcong Zhao; Yafei Wang; Xueyan Ding; Zetian Mi; Xianping Fu

doi:10.1117/12.2524394

6 May 2019 Adaptive underwater image recovery using polarimetric imaging

Zheng Liang, Congcong Zhao, Yafei Wang, Xueyan Ding, Zetian Mi, Xianping Fu

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110692L (2019) https://doi.org/10.1117/12.2524394
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

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.

Citation Download Citation

Zheng Liang, Congcong Zhao, Yafei Wang, Xueyan Ding, Zetian Mi, and Xianping Fu "Adaptive underwater image recovery using polarimetric imaging", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110692L (6 May 2019); https://doi.org/10.1117/12.2524394

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