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A Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets

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dc.contributor.authorJung, Seung-Won-
dc.contributor.authorKim, Tae-Hyun-
dc.contributor.authorKo, Sung-Jea-
dc.date.accessioned2021-09-08T20:58:30Z-
dc.date.available2021-09-08T20:58:30Z-
dc.date.created2021-06-19-
dc.date.issued2009-01-
dc.identifier.issn1070-9908-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/120785-
dc.description.abstractIn this letter, we present a novel image restoration algorithm to deblur the image without estimating the image blur. The proposed algorithm performs deblurring by merging differently blurred multiple images in the spectrum domain using the fuzzy projection onto convex sets (POCS). Experimental results demonstrate that the merged single image contains much less blur than the multiple blurred images.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleA Novel Multiple Image Deblurring Technique Using Fuzzy Projection onto Convex Sets-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Seung-Won-
dc.contributor.affiliatedAuthorKo, Sung-Jea-
dc.identifier.doi10.1109/LSP.2008.2012227-
dc.identifier.scopusid2-s2.0-60849093758-
dc.identifier.wosid000265977900048-
dc.identifier.bibliographicCitationIEEE SIGNAL PROCESSING LETTERS, v.16, no.1-3, pp.192 - 195-
dc.relation.isPartOfIEEE SIGNAL PROCESSING LETTERS-
dc.citation.titleIEEE SIGNAL PROCESSING LETTERS-
dc.citation.volume16-
dc.citation.number1-3-
dc.citation.startPage192-
dc.citation.endPage195-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorImage deblurring-
dc.subject.keywordAuthorpoint spread function (PSF)-
dc.subject.keywordAuthorprojection onto convex sets (POCS)-
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공과대학 (전기전자공학부)
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