Research on Cable Tunnel Image Defogging Based on Optimized Contrast Enhancement
Authors: 
Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Mingming Wang, Yuchao CaoAuthors Info & Claims
Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Mingming Wang, Yuchao CaoAuthors Info & ClaimsPages 190 - 193
Abstract
With the progress of economy and science and technology in recent years, overhead lines in transmission lines have gradually been replaced by high-voltage cables. Because the cable tunnel is an underground closed equipment, the staff can not intuitively observe the situation in the cable tunnel in real time, and can only rely on the cable tunnel image transmitted by the monitoring system in real time for online monitoring, and the environment in the cable tunnel is complex, the air is not circulating, and it is very easy to produce fog, which is extremely unfavorable to the image transmitted by the monitoring system in real time. In this paper, the contrast is optimized by the method of image enhancement to achieve the purpose of dehazing the cable tunnel image and make the image clearer.
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- Research on Cable Tunnel Image Defogging Based on Optimized Contrast Enhancement
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Published In
July 2023
383 pages
ISBN:9798400707575
DOI:10.1145/3614008
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 October 2023
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SPML 2023
SPML 2023: 2023 6th International Conference on Signal Processing and Machine Learning
July 14 - 16, 2023
Tianjin, China
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