{"title":"A rain detection and removal method in video image","authors":"Meibin Qi, B. Geng, Jianguo Jiang, Tiao Wang","doi":"10.1109/IVSURV.2011.6157010","DOIUrl":null,"url":null,"abstract":"Due to the random spatial distribution and fast motion of rain, removal of rain in video is a more difficult problem. This paper presents a background subtraction based on sample model to remove the rain. First, analyze the properties of rain, then establish the sample model with values randomly take in the spatial neighborhood of each pixel on the first frame, so better to classify detected rain by background subtraction. In addition, the movement of objects will cause the corresponding color pixel brightness values to change significantly, the H component of the HSI color space was applied to reduce the impact of moving objects on rain removal. Experimental results show that this method compared with existing methods can not only eliminate a good rain, but also have faster processing speed.","PeriodicalId":141829,"journal":{"name":"2011 Third Chinese Conference on Intelligent Visual Surveillance","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third Chinese Conference on Intelligent Visual Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVSURV.2011.6157010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Due to the random spatial distribution and fast motion of rain, removal of rain in video is a more difficult problem. This paper presents a background subtraction based on sample model to remove the rain. First, analyze the properties of rain, then establish the sample model with values randomly take in the spatial neighborhood of each pixel on the first frame, so better to classify detected rain by background subtraction. In addition, the movement of objects will cause the corresponding color pixel brightness values to change significantly, the H component of the HSI color space was applied to reduce the impact of moving objects on rain removal. Experimental results show that this method compared with existing methods can not only eliminate a good rain, but also have faster processing speed.
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