Underwater polarization image restoration based on logarithmic transformation and dark channel

Xue-yan Liu , Jian-lei Zhang , Ya-fang Yin , Yi Yang , Chao Zhang , Xiong-xiong Wu

Optoelectronics Letters ›› 2020, Vol. 16 ›› Issue (2) : 149 -153.

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Optoelectronics Letters ›› 2020, Vol. 16 ›› Issue (2) : 149 -153. DOI: 10.1007/s11801-020-9135-9
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Underwater polarization image restoration based on logarithmic transformation and dark channel

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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. Document code: A Article ID: 1673-1905(2020)02-0149-5

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Xue-yan Liu, Jian-lei Zhang, Ya-fang Yin, Yi Yang, Chao Zhang, Xiong-xiong Wu. Underwater polarization image restoration based on logarithmic transformation and dark channel. Optoelectronics Letters, 2020, 16(2): 149-153 DOI:10.1007/s11801-020-9135-9

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