V. Maik, Hasil Park, Jinho Park, Heegwang Kim, Y. Know, J. Paik
{"title":"大气光估计使用雾线矢量有效去雾无颜色失真","authors":"V. Maik, Hasil Park, Jinho Park, Heegwang Kim, Y. Know, J. Paik","doi":"10.23919/ELINFOCOM.2018.8330579","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient defogging method with less color distortion. The proposed method consists of three steps: i) estimate atmospheric light using fog line vectors and fog-free reference image; ii) estimate transmission using fuzzy membership function; iii) refine the transmission using L1-Norm regularization, and obtain a defogged image based on fog model using the estimated the atmospheric light and the refined transmission. Experimental results show that the proposed method can effective remove fog components in the foggy image without color distortion.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Atmospheric light estimation using fog line vector for efficient defogging without color distortion\",\"authors\":\"V. Maik, Hasil Park, Jinho Park, Heegwang Kim, Y. Know, J. Paik\",\"doi\":\"10.23919/ELINFOCOM.2018.8330579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient defogging method with less color distortion. The proposed method consists of three steps: i) estimate atmospheric light using fog line vectors and fog-free reference image; ii) estimate transmission using fuzzy membership function; iii) refine the transmission using L1-Norm regularization, and obtain a defogged image based on fog model using the estimated the atmospheric light and the refined transmission. Experimental results show that the proposed method can effective remove fog components in the foggy image without color distortion.\",\"PeriodicalId\":413646,\"journal\":{\"name\":\"2018 International Conference on Electronics, Information, and Communication (ICEIC)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Electronics, Information, and Communication (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ELINFOCOM.2018.8330579\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELINFOCOM.2018.8330579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Atmospheric light estimation using fog line vector for efficient defogging without color distortion
This paper presents an efficient defogging method with less color distortion. The proposed method consists of three steps: i) estimate atmospheric light using fog line vectors and fog-free reference image; ii) estimate transmission using fuzzy membership function; iii) refine the transmission using L1-Norm regularization, and obtain a defogged image based on fog model using the estimated the atmospheric light and the refined transmission. Experimental results show that the proposed method can effective remove fog components in the foggy image without color distortion.