{"title":"离散正弦变换用于图像锐化的矩阵二阶微分器设计","authors":"Su-Ling Lee, C. Tseng","doi":"10.1109/ICCE-TW.2015.7216919","DOIUrl":null,"url":null,"abstract":"In this paper, the design of matrix second-order differentiator (SOD) using discrete sine transform (DST) is presented. First, the design problem of matrix filter is described. Then, the DST is applied to obtain the closed-form transfer matrix of the matrix SOD. Next, the designed matrix SOD is used to develop an image sharpening algorithm by using Laplacian operator. Finally, the performance of the proposed matrix SOD is evaluated through numerical examples.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design of matrix second-order differentiator for image sharpening using discrete sine transform\",\"authors\":\"Su-Ling Lee, C. Tseng\",\"doi\":\"10.1109/ICCE-TW.2015.7216919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the design of matrix second-order differentiator (SOD) using discrete sine transform (DST) is presented. First, the design problem of matrix filter is described. Then, the DST is applied to obtain the closed-form transfer matrix of the matrix SOD. Next, the designed matrix SOD is used to develop an image sharpening algorithm by using Laplacian operator. Finally, the performance of the proposed matrix SOD is evaluated through numerical examples.\",\"PeriodicalId\":340402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2015.7216919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2015.7216919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of matrix second-order differentiator for image sharpening using discrete sine transform
In this paper, the design of matrix second-order differentiator (SOD) using discrete sine transform (DST) is presented. First, the design problem of matrix filter is described. Then, the DST is applied to obtain the closed-form transfer matrix of the matrix SOD. Next, the designed matrix SOD is used to develop an image sharpening algorithm by using Laplacian operator. Finally, the performance of the proposed matrix SOD is evaluated through numerical examples.
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