{"title":"通过信号分解进行图像防御","authors":"Veepin Kumar, J. Mukherjee, S. Mandal","doi":"10.1145/3009977.3009984","DOIUrl":null,"url":null,"abstract":"We present a novel algorithm to remove near regular, fence or wire like foreground patterns from an image. The fence detection or fence removal algorithms, developed so far, have poor performance in detecting the fence. We use signal demixing to utilize the sparsity and regularity property of fences to detect them. Results demonstrate the effectiveness of our technique as compared to other state of the art techniques.","PeriodicalId":93806,"journal":{"name":"Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing","volume":"30 1","pages":"11:1-11:8"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Image defencing via signal demixing\",\"authors\":\"Veepin Kumar, J. Mukherjee, S. Mandal\",\"doi\":\"10.1145/3009977.3009984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a novel algorithm to remove near regular, fence or wire like foreground patterns from an image. The fence detection or fence removal algorithms, developed so far, have poor performance in detecting the fence. We use signal demixing to utilize the sparsity and regularity property of fences to detect them. Results demonstrate the effectiveness of our technique as compared to other state of the art techniques.\",\"PeriodicalId\":93806,\"journal\":{\"name\":\"Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing\",\"volume\":\"30 1\",\"pages\":\"11:1-11:8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3009977.3009984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Indian Conference on Computer Vision, Graphics & Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3009977.3009984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a novel algorithm to remove near regular, fence or wire like foreground patterns from an image. The fence detection or fence removal algorithms, developed so far, have poor performance in detecting the fence. We use signal demixing to utilize the sparsity and regularity property of fences to detect them. Results demonstrate the effectiveness of our technique as compared to other state of the art techniques.
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