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Volume 12
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Article

Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior

by
Chuan Li
1,2,
Changjiu Yuan
3,
Hongbo Pan
3,
Yue Yang
3,
Ziyan Wang
3,
Hao Zhou
1,2,3 and
Hailing Xiong
4,*
1
College of Computer and Information Science, Southwest University, Chongqing 400715, China
2
College of Big Data and Intelligent Engineering, Chongqing College of International Business and Economics, Chongqing 401520, China
3
College of Big Data and Artificial Intelligence, Chizhou University, Chizhou 247000, China
4
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
*
Author to whom correspondence should be addressed.
Electronics 2023, 12(2), 299; https://doi.org/10.3390/electronics12020299
Submission received: 29 November 2022 / Revised: 26 December 2022 / Accepted: 29 December 2022 / Published: 6 January 2023
(This article belongs to the Special Issue Artificial Intelligence Technologies and Applications)
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Abstract

Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to address a large band of haze, we propose a simple yet effective method for single-image dehazing based on an improved bright prior and dark channel prior. First, we use the Otsu method by particle swarm optimization to divide the hazy image into sky regions and non-sky regions. Then, we use the improved bright channel prior and dark channel prior to estimate the parameters in the physical model. Second, we propose a weighted fusion function to efficiently fuse the parameters estimated by two priors. Finally, the clear image is restored through the physical model. Experiments illustrate that our method can solve the problem of the invalidation of the dark channel prior in the sky region well and achieve high-quality image restoration, especially for images with limited haze.
Keywords: image dehazing; dark channel prior; bright channel prior; Otsu; particle swarm optimization image dehazing; dark channel prior; bright channel prior; Otsu; particle swarm optimization

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MDPI and ACS Style

Li, C.; Yuan, C.; Pan, H.; Yang, Y.; Wang, Z.; Zhou, H.; Xiong, H. Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior. Electronics 2023, 12, 299. https://doi.org/10.3390/electronics12020299

AMA Style

Li C, Yuan C, Pan H, Yang Y, Wang Z, Zhou H, Xiong H. Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior. Electronics. 2023; 12(2):299. https://doi.org/10.3390/electronics12020299

Chicago/Turabian Style

Li, Chuan, Changjiu Yuan, Hongbo Pan, Yue Yang, Ziyan Wang, Hao Zhou, and Hailing Xiong. 2023. "Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior" Electronics 12, no. 2: 299. https://doi.org/10.3390/electronics12020299

APA Style

Li, C., Yuan, C., Pan, H., Yang, Y., Wang, Z., Zhou, H., & Xiong, H. (2023). Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior. Electronics, 12(2), 299. https://doi.org/10.3390/electronics12020299

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