Statements in which the resource exists.
SubjectPredicateObjectContext
pubmed-article:16633419rdf:typepubmed:Citationlld:pubmed
pubmed-article:16633419lifeskim:mentionsumls-concept:C0184511lld:lifeskim
pubmed-article:16633419lifeskim:mentionsumls-concept:C1704922lld:lifeskim
pubmed-article:16633419lifeskim:mentionsumls-concept:C0185125lld:lifeskim
pubmed-article:16633419lifeskim:mentionsumls-concept:C0180860lld:lifeskim
pubmed-article:16633419lifeskim:mentionsumls-concept:C2698650lld:lifeskim
pubmed-article:16633419pubmed:issue12lld:pubmed
pubmed-article:16633419pubmed:dateCreated2006-4-24lld:pubmed
pubmed-article:16633419pubmed:abstractTextSoft-partition-weighted-sum (Soft-PWS) filters are a class of spatially adaptive moving-window filters for signal and image restoration. Their performance is shown to be promising. However, optimization of the Soft-PWS filters has received only limited attention. Earlier work focused on a stochastic-gradient method that is computationally prohibitive in many applications. We describe a novel radial basis function interpretation of the Soft-PWS filters and present an efficient optimization procedure. We apply the filters to the problem of noise reduction. The experimental results show that the Soft-PWS filter outperforms the standard partition-weighted-sum filter and the Wiener filter.lld:pubmed
pubmed-article:16633419pubmed:languageenglld:pubmed
pubmed-article:16633419pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:16633419pubmed:citationSubsetIMlld:pubmed
pubmed-article:16633419pubmed:statusMEDLINElld:pubmed
pubmed-article:16633419pubmed:monthAprlld:pubmed
pubmed-article:16633419pubmed:issn0003-6935lld:pubmed
pubmed-article:16633419pubmed:authorpubmed-author:LinYongYlld:pubmed
pubmed-article:16633419pubmed:authorpubmed-author:HardieRussell...lld:pubmed
pubmed-article:16633419pubmed:authorpubmed-author:ShaoMinMlld:pubmed
pubmed-article:16633419pubmed:authorpubmed-author:BarnerKenneth...lld:pubmed
pubmed-article:16633419pubmed:authorpubmed-author:ShengQinQlld:pubmed
pubmed-article:16633419pubmed:issnTypePrintlld:pubmed
pubmed-article:16633419pubmed:day20lld:pubmed
pubmed-article:16633419pubmed:volume45lld:pubmed
pubmed-article:16633419pubmed:ownerNLMlld:pubmed
pubmed-article:16633419pubmed:authorsCompleteYlld:pubmed
pubmed-article:16633419pubmed:pagination2697-706lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:meshHeadingpubmed-meshheading:16633419...lld:pubmed
pubmed-article:16633419pubmed:year2006lld:pubmed
pubmed-article:16633419pubmed:articleTitleImproved optimization of soft-partition-weighted-sum filters and their application to image restoration.lld:pubmed
pubmed-article:16633419pubmed:affiliationUniversity of Dayton, Ohio 45469-0226, USA. yong.lin@ieee.orglld:pubmed
pubmed-article:16633419pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:16633419pubmed:publicationTypeEvaluation Studieslld:pubmed