{"title":"基于改进暗通道先验法的单幅图像去雾算法","authors":"Chi-Chia Sun, Heng-Chi Lai, M. Sheu, Yi Huang","doi":"10.1109/ISPACS.2016.7824761","DOIUrl":null,"url":null,"abstract":"Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Single image fog removal algorithm based on an improved dark channel prior method\",\"authors\":\"Chi-Chia Sun, Heng-Chi Lai, M. Sheu, Yi Huang\",\"doi\":\"10.1109/ISPACS.2016.7824761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.\",\"PeriodicalId\":131543,\"journal\":{\"name\":\"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2016.7824761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2016.7824761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Single image fog removal algorithm based on an improved dark channel prior method
Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.
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