{"title":"New constraints for set-theoretic image restoration with artifact suppression","authors":"M. Sezan, H. Trussell","doi":"10.1109/MDSP.1989.97102","DOIUrl":null,"url":null,"abstract":"Summary form only given. The use of two new constraints in image restoration using set-theoretic algorithms has been investigated. The constraints aim to reduce the signal-dependent and filtered noise artifacts in the resulting restoration. The first constraint proposed is the 'bounded variation from the Wiener solution' constraint. The second is a continuously varying smoothness constraint.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"282 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth Multidimensional Signal Processing Workshop,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDSP.1989.97102","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
Summary form only given. The use of two new constraints in image restoration using set-theoretic algorithms has been investigated. The constraints aim to reduce the signal-dependent and filtered noise artifacts in the resulting restoration. The first constraint proposed is the 'bounded variation from the Wiener solution' constraint. The second is a continuously varying smoothness constraint.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
