pubmed-article:16633419 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:16633419 | lifeskim:mentions | umls-concept:C0184511 | lld:lifeskim |
pubmed-article:16633419 | lifeskim:mentions | umls-concept:C1704922 | lld:lifeskim |
pubmed-article:16633419 | lifeskim:mentions | umls-concept:C0185125 | lld:lifeskim |
pubmed-article:16633419 | lifeskim:mentions | umls-concept:C0180860 | lld:lifeskim |
pubmed-article:16633419 | lifeskim:mentions | umls-concept:C2698650 | lld:lifeskim |
pubmed-article:16633419 | pubmed:issue | 12 | lld:pubmed |
pubmed-article:16633419 | pubmed:dateCreated | 2006-4-24 | lld:pubmed |
pubmed-article:16633419 | pubmed:abstractText | Soft-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:16633419 | pubmed:language | eng | lld:pubmed |
pubmed-article:16633419 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:16633419 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:16633419 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:16633419 | pubmed:month | Apr | lld:pubmed |
pubmed-article:16633419 | pubmed:issn | 0003-6935 | lld:pubmed |
pubmed-article:16633419 | pubmed:author | pubmed-author:LinYongY | lld:pubmed |
pubmed-article:16633419 | pubmed:author | pubmed-author:HardieRussell... | lld:pubmed |
pubmed-article:16633419 | pubmed:author | pubmed-author:ShaoMinM | lld:pubmed |
pubmed-article:16633419 | pubmed:author | pubmed-author:BarnerKenneth... | lld:pubmed |
pubmed-article:16633419 | pubmed:author | pubmed-author:ShengQinQ | lld:pubmed |
pubmed-article:16633419 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:16633419 | pubmed:day | 20 | lld:pubmed |
pubmed-article:16633419 | pubmed:volume | 45 | lld:pubmed |
pubmed-article:16633419 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:16633419 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:16633419 | pubmed:pagination | 2697-706 | lld:pubmed |
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pubmed-article:16633419 | pubmed:meshHeading | pubmed-meshheading:16633419... | lld:pubmed |
pubmed-article:16633419 | pubmed:year | 2006 | lld:pubmed |
pubmed-article:16633419 | pubmed:articleTitle | Improved optimization of soft-partition-weighted-sum filters and their application to image restoration. | lld:pubmed |
pubmed-article:16633419 | pubmed:affiliation | University of Dayton, Ohio 45469-0226, USA. yong.lin@ieee.org | lld:pubmed |
pubmed-article:16633419 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:16633419 | pubmed:publicationType | Evaluation Studies | lld:pubmed |