{"title":"改善在恶劣天气条件下拍摄的单幅朦胧图像的能见度","authors":"Bo-Hao Chen, Shih-Chia Huang","doi":"10.1109/ISM.2013.51","DOIUrl":null,"url":null,"abstract":"Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. In this paper, we present a new type of haze removal approach which uses a combination of hybrid spectrum analysis and dark channel prior in order to repair color shifts and thereby achieve effective restoration of hazy images captured during sandstorms. The restoration results and qualitative evaluation demonstrate that our proposed approach can provide superior restoration results for images captured during sandstorms in comparison with the previous state-of-the-art approach.","PeriodicalId":6311,"journal":{"name":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","volume":"60 1","pages":"267-270"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Improved Visibility of Single Hazy Images Captured in Inclement Weather Conditions\",\"authors\":\"Bo-Hao Chen, Shih-Chia Huang\",\"doi\":\"10.1109/ISM.2013.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. In this paper, we present a new type of haze removal approach which uses a combination of hybrid spectrum analysis and dark channel prior in order to repair color shifts and thereby achieve effective restoration of hazy images captured during sandstorms. The restoration results and qualitative evaluation demonstrate that our proposed approach can provide superior restoration results for images captured during sandstorms in comparison with the previous state-of-the-art approach.\",\"PeriodicalId\":6311,\"journal\":{\"name\":\"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)\",\"volume\":\"60 1\",\"pages\":\"267-270\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2013.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2013.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Visibility of Single Hazy Images Captured in Inclement Weather Conditions
Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. In this paper, we present a new type of haze removal approach which uses a combination of hybrid spectrum analysis and dark channel prior in order to repair color shifts and thereby achieve effective restoration of hazy images captured during sandstorms. The restoration results and qualitative evaluation demonstrate that our proposed approach can provide superior restoration results for images captured during sandstorms in comparison with the previous state-of-the-art approach.