{"title":"基于窗口的紫条纹伪影自动检测与校正","authors":"V. Tomaselli, M. Guarnera, A. Bruna, S. Curti","doi":"10.1109/ICCE-BERLIN.2011.6031809","DOIUrl":null,"url":null,"abstract":"The present paper discloses a technique to reduce purple fringing artifacts from images, working in the YCrCb domain. This algorithm, which addresses the segment of smart phones and digital cameras, is window based, thus having reduced memory requirements. Purple fringes are corrected in a gradual way, without producing an excessive reduction of saturation.","PeriodicalId":236486,"journal":{"name":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Automatic detection and correction of purple fringing artifacts through a window based approach\",\"authors\":\"V. Tomaselli, M. Guarnera, A. Bruna, S. Curti\",\"doi\":\"10.1109/ICCE-BERLIN.2011.6031809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present paper discloses a technique to reduce purple fringing artifacts from images, working in the YCrCb domain. This algorithm, which addresses the segment of smart phones and digital cameras, is window based, thus having reduced memory requirements. Purple fringes are corrected in a gradual way, without producing an excessive reduction of saturation.\",\"PeriodicalId\":236486,\"journal\":{\"name\":\"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-BERLIN.2011.6031809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-BERLIN.2011.6031809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic detection and correction of purple fringing artifacts through a window based approach
The present paper discloses a technique to reduce purple fringing artifacts from images, working in the YCrCb domain. This algorithm, which addresses the segment of smart phones and digital cameras, is window based, thus having reduced memory requirements. Purple fringes are corrected in a gradual way, without producing an excessive reduction of saturation.