Underwater image enhancement algorithm based on granular computing

Yingjuan Xie; Xinnan Fan; Haiyan Xu; Zhuo Zhang; Junfeng Chen

doi:10.1117/12.2316617

24 April 2018 Underwater image enhancement algorithm based on granular computing

Yingjuan Xie, Xinnan Fan, Haiyan Xu, Zhuo Zhang, Junfeng Chen

Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 107111Q (2018) https://doi.org/10.1117/12.2316617
Event: SPIE Structured Light, 2018, Yokohama, Japan

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.

Citation Download Citation

Yingjuan Xie, Xinnan Fan, Haiyan Xu, Zhuo Zhang, and Junfeng Chen "Underwater image enhancement algorithm based on granular computing", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111Q (24 April 2018); https://doi.org/10.1117/12.2316617

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