{"title":"基于广义径向Hilbert变换的边缘定向增强","authors":"Ling Guo, Jinsong Li, Tongtong Lu, Ying Fang","doi":"10.1109/SOPO.2012.6270551","DOIUrl":null,"url":null,"abstract":"Edge enhancement is a key part of image processing in order to sharpen the edge and optimize the visual quality of the input image. This paper proposes novel edge-directed enhancement spatial phase filters based on the generalized radial Hilbert transform theory. The simulated results showed that the proposed spatial phase filters are more efficient and flexible for edge-directed enhancement than conventional mathematical morphological edge enhancement algorithms.","PeriodicalId":159850,"journal":{"name":"2012 Symposium on Photonics and Optoelectronics","volume":"213 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Edge-Directed Enhancement Based on the Generalized Radial Hilbert Transform\",\"authors\":\"Ling Guo, Jinsong Li, Tongtong Lu, Ying Fang\",\"doi\":\"10.1109/SOPO.2012.6270551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Edge enhancement is a key part of image processing in order to sharpen the edge and optimize the visual quality of the input image. This paper proposes novel edge-directed enhancement spatial phase filters based on the generalized radial Hilbert transform theory. The simulated results showed that the proposed spatial phase filters are more efficient and flexible for edge-directed enhancement than conventional mathematical morphological edge enhancement algorithms.\",\"PeriodicalId\":159850,\"journal\":{\"name\":\"2012 Symposium on Photonics and Optoelectronics\",\"volume\":\"213 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Symposium on Photonics and Optoelectronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOPO.2012.6270551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Symposium on Photonics and Optoelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOPO.2012.6270551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge-Directed Enhancement Based on the Generalized Radial Hilbert Transform
Edge enhancement is a key part of image processing in order to sharpen the edge and optimize the visual quality of the input image. This paper proposes novel edge-directed enhancement spatial phase filters based on the generalized radial Hilbert transform theory. The simulated results showed that the proposed spatial phase filters are more efficient and flexible for edge-directed enhancement than conventional mathematical morphological edge enhancement algorithms.
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