{"title":"基于过参数化模型的电视去噪研究","authors":"Tal Nir, A. Bruckstein","doi":"10.1109/ISSCS.2007.4292706","DOIUrl":null,"url":null,"abstract":"An over-parametrization model based total variation signal and image denoising method is proposed and analyzed in this paper. In cases where some structural information is provided on the signals or images of interest, this method may lead to substantial improvements in denoising performance.","PeriodicalId":225101,"journal":{"name":"2007 International Symposium on Signals, Circuits and Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"On Over-Parameterized Model Based TV-Denoising\",\"authors\":\"Tal Nir, A. Bruckstein\",\"doi\":\"10.1109/ISSCS.2007.4292706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An over-parametrization model based total variation signal and image denoising method is proposed and analyzed in this paper. In cases where some structural information is provided on the signals or images of interest, this method may lead to substantial improvements in denoising performance.\",\"PeriodicalId\":225101,\"journal\":{\"name\":\"2007 International Symposium on Signals, Circuits and Systems\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Signals, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2007.4292706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Signals, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2007.4292706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An over-parametrization model based total variation signal and image denoising method is proposed and analyzed in this paper. In cases where some structural information is provided on the signals or images of interest, this method may lead to substantial improvements in denoising performance.
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