{"title":"Aperture Filters Implementation For Noise Removal","authors":"J. Chlapinski, S. Marshall","doi":"10.1109/MIXDES.2006.1706661","DOIUrl":null,"url":null,"abstract":"This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adaptive Wiener filtering methods","PeriodicalId":318768,"journal":{"name":"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIXDES.2006.1706661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adaptive Wiener filtering methods