{"title":"基于分数阶微分和调制传递函数的彩色图像锐化","authors":"C. Tseng, Su-Ling Lee","doi":"10.1109/ISCE.2013.6570184","DOIUrl":null,"url":null,"abstract":"In this paper, a color image sharpening algorithm is presented by using YCbCr color space representation and fractional differentiation operator. Because the quality of sharpened color image depends on the order of fractional differentiation, the modulation transfer function (MTF) in the human visual system (HVS) is employed to determine the best fractional order of differentiation. Various color images are used to show the effectiveness of the proposed color image sharpening method.","PeriodicalId":442380,"journal":{"name":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"49 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Color image sharpening based on fractional differentiation and modulation transfer function\",\"authors\":\"C. Tseng, Su-Ling Lee\",\"doi\":\"10.1109/ISCE.2013.6570184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a color image sharpening algorithm is presented by using YCbCr color space representation and fractional differentiation operator. Because the quality of sharpened color image depends on the order of fractional differentiation, the modulation transfer function (MTF) in the human visual system (HVS) is employed to determine the best fractional order of differentiation. Various color images are used to show the effectiveness of the proposed color image sharpening method.\",\"PeriodicalId\":442380,\"journal\":{\"name\":\"2013 IEEE International Symposium on Consumer Electronics (ISCE)\",\"volume\":\"49 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Symposium on Consumer Electronics (ISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2013.6570184\",\"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 Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2013.6570184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color image sharpening based on fractional differentiation and modulation transfer function
In this paper, a color image sharpening algorithm is presented by using YCbCr color space representation and fractional differentiation operator. Because the quality of sharpened color image depends on the order of fractional differentiation, the modulation transfer function (MTF) in the human visual system (HVS) is employed to determine the best fractional order of differentiation. Various color images are used to show the effectiveness of the proposed color image sharpening method.