Research on Dehazing of Cable Tunnel Image Based on Dark Channel Prior
Authors: 
Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Xiaoyun Sun, Yuchao CaoAuthors Info & Claims
Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Xiaoyun Sun, Yuchao CaoAuthors Info & ClaimsPages 1559 - 1563
Abstract
The cable tunnel is an architectural structure to protect the cable. The building is located underground, and the cable is not visible to the naked eye on the ground like overhead lines. In order to protect and maintain the cable, there is a cable monitoring system. Among them, the most important thing for the monitoring system is to capture the images in the cable tunnel, and the generation of fog in the tunnel is unfavorable for the monitoring images. So there is a dehazing method. The traditional dehazing method is roughly divided into a dehazing method based on a physical model and a non-physical model. This paper studies the dehazing of the cable tunnel image based on the dark channel prior algorithm of the physical model.
References
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Index Terms
- Research on Dehazing of Cable Tunnel Image Based on Dark Channel Prior
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Published In
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
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Association for Computing Machinery
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Published: 15 March 2023
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EITCE 2022
EITCE 2022: 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 21 - 23, 2022
Xiamen, China
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Overall Acceptance Rate 508 of 972 submissions, 52%
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