{"title":"Fast wavelet techniques for near-optimal image processing","authors":"Ronald A. DeVore, B. Lucier","doi":"10.1109/MILCOM.1992.244110","DOIUrl":null,"url":null,"abstract":"The authors present a unified mathematical approach that allows one to formulate both linear and nonlinear algorithms in terms of minimization problems related to the so-called K-functionals of harmonic analysis. They then summarize the previously developed mathematics that analyzes the image compression and Gaussian noise removal algorithms.<<ETX>>","PeriodicalId":394587,"journal":{"name":"MILCOM 92 Conference Record","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"146","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 92 Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1992.244110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 146
Abstract
The authors present a unified mathematical approach that allows one to formulate both linear and nonlinear algorithms in terms of minimization problems related to the so-called K-functionals of harmonic analysis. They then summarize the previously developed mathematics that analyzes the image compression and Gaussian noise removal algorithms.<>
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