Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Xiaoyun Sun, Yuchao Cao
{"title":"Research on Dehazing of Cable Tunnel Image Based on Dark Channel Prior","authors":"Qian Li, Yuechao Chen, Junguo Feng, Jun Zhang, Xiaoyun Sun, Yuchao Cao","doi":"10.1145/3573428.3573702","DOIUrl":null,"url":null,"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.","PeriodicalId":314698,"journal":{"name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573428.3573702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.