{"title":"用于图像处理的最近邻多通道滤波器","authors":"K. Plataniotis, D. Androutsos, A. Venetsanopoulos","doi":"10.5281/ZENODO.36384","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of noise attenuation for multichannel data. Two multichannel filters which utilize adaptively determined data dependent coefficients are introduced. The special case of colour image processing is studied as an important example of multichannel signal processing. Simulation results indicate that the new filters are computationally attractive and have excellent performance.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Nearest neighbour multichannel filters for image processing\",\"authors\":\"K. Plataniotis, D. Androutsos, A. Venetsanopoulos\",\"doi\":\"10.5281/ZENODO.36384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of noise attenuation for multichannel data. Two multichannel filters which utilize adaptively determined data dependent coefficients are introduced. The special case of colour image processing is studied as an important example of multichannel signal processing. Simulation results indicate that the new filters are computationally attractive and have excellent performance.\",\"PeriodicalId\":282153,\"journal\":{\"name\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.36384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nearest neighbour multichannel filters for image processing
This paper addresses the problem of noise attenuation for multichannel data. Two multichannel filters which utilize adaptively determined data dependent coefficients are introduced. The special case of colour image processing is studied as an important example of multichannel signal processing. Simulation results indicate that the new filters are computationally attractive and have excellent performance.
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