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Volume 22
Issue 6
10.3390/s22062168
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Article

Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling

by
Yan-Tsung Peng
1,
Yen-Rong Chen
1,
Zihao Chen
2,
Jung-Hua Wang
3 and
Shih-Chia Huang
4,*
1
Department of Computer Science, National Chengchi University, Taipei City 116, Taiwan
2
Department of Mechanical Aerospace Engineering, University of California, San Diego, CA 92093, USA
3
AI Research Center, National Taiwan Ocean University, Keelung City 202, Taiwan
4
Department of Electronic Engineering, National Taipei University of Technology, Taipei City 106, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(6), 2168; https://doi.org/10.3390/s22062168
Submission received: 24 January 2022 / Revised: 28 February 2022 / Accepted: 4 March 2022 / Published: 10 March 2022
(This article belongs to the Special Issue Feature Papers in Vehicular Sensing)
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Abstract

This work proposes to develop an underwater image enhancement method based on histogram-equalization (HE) approximation using physics-based dichromatic modeling (PDM). Images captured underwater usually suffer from low contrast and color distortions due to light scattering and attenuation. The PDM describes the image formation process, which can be used to restore nature-degraded images, such as underwater images. However, it does not assure that the restored images have good contrast. Thus, we propose approximating the conventional HE based on the PDM to recover the color distortions of underwater images and enhance their contrast through convex optimization. Experimental results demonstrate the proposed method performs favorably against state-of-the-art underwater image restoration approaches.
Keywords: histogram equalization approximation; physics-based dichromatic model; convex optimization histogram equalization approximation; physics-based dichromatic model; convex optimization

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MDPI and ACS Style

Peng, Y.-T.; Chen, Y.-R.; Chen, Z.; Wang, J.-H.; Huang, S.-C. Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling. Sensors 2022, 22, 2168. https://doi.org/10.3390/s22062168

AMA Style

Peng Y-T, Chen Y-R, Chen Z, Wang J-H, Huang S-C. Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling. Sensors. 2022; 22(6):2168. https://doi.org/10.3390/s22062168

Chicago/Turabian Style

Peng, Yan-Tsung, Yen-Rong Chen, Zihao Chen, Jung-Hua Wang, and Shih-Chia Huang. 2022. "Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling" Sensors 22, no. 6: 2168. https://doi.org/10.3390/s22062168

APA Style

Peng, Y.-T., Chen, Y.-R., Chen, Z., Wang, J.-H., & Huang, S.-C. (2022). Underwater Image Enhancement Based on Histogram-Equalization Approximation Using Physics-Based Dichromatic Modeling. Sensors, 22(6), 2168. https://doi.org/10.3390/s22062168

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