{"title":"快速小波技术的近最佳图像处理","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":"{\"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}","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}
Fast wavelet techniques for near-optimal image processing
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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