{"title":"图像锐化使用矩阵Riesz分数阶微分和离散正弦变换","authors":"Su-Ling Lee, C. Tseng","doi":"10.1109/ICCE-TW.2016.7520915","DOIUrl":null,"url":null,"abstract":"In this paper, the design of matrix Riesz fractional order differentiator (FOD) using discrete sine transform (DST) is presented. First, the matrix Riesz FOD design problem is described. Then, the transfer matrix of the matrix Riesz FOD is obtained by using DST. Next, the designed matrix Riesz FOD is applied to develop an image sharpening algorithm. Finally, an example is presented to show the usefulness of the proposed DST-based matrix Riesz FOD method.","PeriodicalId":6620,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"7 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Image sharpening using matrix Riesz fractional order differentiator and discrete sine transform\",\"authors\":\"Su-Ling Lee, C. Tseng\",\"doi\":\"10.1109/ICCE-TW.2016.7520915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the design of matrix Riesz fractional order differentiator (FOD) using discrete sine transform (DST) is presented. First, the matrix Riesz FOD design problem is described. Then, the transfer matrix of the matrix Riesz FOD is obtained by using DST. Next, the designed matrix Riesz FOD is applied to develop an image sharpening algorithm. Finally, an example is presented to show the usefulness of the proposed DST-based matrix Riesz FOD method.\",\"PeriodicalId\":6620,\"journal\":{\"name\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"volume\":\"7 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2016.7520915\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2016.7520915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image sharpening using matrix Riesz fractional order differentiator and discrete sine transform
In this paper, the design of matrix Riesz fractional order differentiator (FOD) using discrete sine transform (DST) is presented. First, the matrix Riesz FOD design problem is described. Then, the transfer matrix of the matrix Riesz FOD is obtained by using DST. Next, the designed matrix Riesz FOD is applied to develop an image sharpening algorithm. Finally, an example is presented to show the usefulness of the proposed DST-based matrix Riesz FOD method.
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