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Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map

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dc.contributor.authorKim, Sangjin-
dc.contributor.authorJun, Sinyoung-
dc.contributor.authorLee, Eunsung-
dc.contributor.authorShin, Jeongho-
dc.contributor.authorPaik, Joonki-
dc.date.accessioned2021-07-22T07:07:01Z-
dc.date.available2021-07-22T07:07:01Z-
dc.date.issued2009-12-
dc.identifier.issn1865-0929-
dc.identifier.issn1865-0937-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47765-
dc.description.abstractThis paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleRinging Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-642-10546-3_27-
dc.identifier.bibliographicCitationSIGNAL PROCESSING, IMAGE PROCESSING, AND PATTERN RECOGNITION, v.61, pp 221 - 227-
dc.description.isOpenAccessN-
dc.identifier.wosid000280423400027-
dc.identifier.scopusid2-s2.0-77952274585-
dc.citation.endPage227-
dc.citation.startPage221-
dc.citation.titleSIGNAL PROCESSING, IMAGE PROCESSING, AND PATTERN RECOGNITION-
dc.citation.volume61-
dc.type.docTypeProceedings Paper-
dc.publisher.location독일-
dc.subject.keywordAuthorRinging Artifact-
dc.subject.keywordAuthorMulti-Resolution Edge Map-
dc.subject.keywordAuthorDiscrete Wavelet Transform-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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