Underwater polarization image restoration based on logarithmic transformation and dark channel

LIU Xue-yan; ZHANG Jian-lei; YIN Ya-fang; YANG Yi; ZHANG Chao; WU Xiong-xiong

doi:doi:10.1007/s11801-020-9135-9

光电子快报（英文版）, 2020, 16 (2): 149, Published Online: Dec. 25, 2020

Underwater polarization image restoration based on logarithmic transformation and dark channel

论文大纲

LIU Xue-yan ¹ZHANG Jian-lei ^1,*YIN Ya-fang ¹YANG Yi ¹ZHANG Chao ¹WU Xiong-xiong ²

Author Affiliations

¹ School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China

² Xi’an Institute of Applied Optics, Xi’an 710065, China

Abstract

The visibility of the underwater image is reduced due to the backscattering and signal attenuation, especially in highly turbid media. In this paper, we propose a polarization-based underwater image restoration method using logarithmic transformation and dark channel. Logarithmic transformation is first performed while maintaining the degree of polarization of the scene to increase the details of the images. Then we calculate the backscatter value through dark channel to estimate the degree of polarization of backscatter. The restored image can be obtained by the polarimetric recovery method. The experimental results illustrate the capabilities of the proposed method.

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LIU Xue-yan, ZHANG Jian-lei, YIN Ya-fang, YANG Yi, ZHANG Chao, WU Xiong-xiong. Underwater polarization image restoration based on logarithmic transformation and dark channel[J]. 光电子快报（英文版）, 2020, 16(2): 149.

Underwater polarization image restoration based on logarithmic transformation and dark channel

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