{"title":"图像的三维噪声自适应维纳滤波","authors":"I. Draganov, R. Mironov","doi":"10.1109/TELECOM50385.2020.9299543","DOIUrl":null,"url":null,"abstract":"In this paper a new technique is presented for 3D noise adaptive filtering of images containing additive white Gaussian noise on the basis of the Wiener filter. It uses preliminary estimation of the noise variance from unknown set of input images which relies on statistical analysis of the relatively homogenous areas in them. Its application may turn useful for industrial applications involving multispectral, CT, MRI and other types of images.","PeriodicalId":300010,"journal":{"name":"2020 28th National Conference with International Participation (TELECOM)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D Noise Adaptive Wiener Filtering of Images\",\"authors\":\"I. Draganov, R. Mironov\",\"doi\":\"10.1109/TELECOM50385.2020.9299543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new technique is presented for 3D noise adaptive filtering of images containing additive white Gaussian noise on the basis of the Wiener filter. It uses preliminary estimation of the noise variance from unknown set of input images which relies on statistical analysis of the relatively homogenous areas in them. Its application may turn useful for industrial applications involving multispectral, CT, MRI and other types of images.\",\"PeriodicalId\":300010,\"journal\":{\"name\":\"2020 28th National Conference with International Participation (TELECOM)\",\"volume\":\"2013 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 28th National Conference with International Participation (TELECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELECOM50385.2020.9299543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 28th National Conference with International Participation (TELECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELECOM50385.2020.9299543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper a new technique is presented for 3D noise adaptive filtering of images containing additive white Gaussian noise on the basis of the Wiener filter. It uses preliminary estimation of the noise variance from unknown set of input images which relies on statistical analysis of the relatively homogenous areas in them. Its application may turn useful for industrial applications involving multispectral, CT, MRI and other types of images.
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