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dc.contributor.author윤정호*
dc.contributor.author이연주*
dc.date.accessioned2016-08-28T11:08:46Z-
dc.date.available2016-08-28T11:08:46Z-
dc.date.issued2014*
dc.identifier.issn0924-9907*
dc.identifier.otherOAK-11134*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/227589-
dc.description.abstractBregman iteration; Denoising; Moving least squares; Total variation*
dc.languageEnglish*
dc.publisherKluwer Academic Publishers*
dc.titleA framework for moving least squares method with total variation minimizing regularization*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume48*
dc.relation.indexSCI*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage566*
dc.relation.lastpage582*
dc.relation.journaltitleJournal of Mathematical Imaging and Vision*
dc.identifier.doi10.1007/s10851-013-0428-5*
dc.identifier.wosidWOS:000332459300012*
dc.identifier.scopusid2-s2.0-84899439042*
dc.author.googleLee Y.J.*
dc.author.googleLee S.*
dc.author.googleYoon J.*
dc.contributor.scopusid윤정호(57221276460)*
dc.contributor.scopusid이연주(35105220900)*
dc.date.modifydate20260901081000*
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자연과학대학 > 수학전공 > Journal papers
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