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혼합 norm 기반의 가중치 함수를 이용한 평균 노이즈 제거 기법

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dc.contributor.author김동영-
dc.contributor.author오종근-
dc.contributor.author홍민철-
dc.date.available2018-05-09T05:45:39Z-
dc.date.created2018-04-17-
dc.date.issued2016-06-
dc.identifier.issn1226-7244-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/7947-
dc.description.abstractThis paper presents a non-local means (NLM) denoising algorithm based on a new weighting function using a mixed norm. The fidelity of the difference between an anchor patch and the reference patch in the NLM denoising depends on noise level and local activity. This paper introduces a new weighting function based on a mixed norm type of which the order is determined by noise level and local activity of an anchor patch, so that the performance of the NLM denoising can be enhanced. Experimental results demonstrate the objective and subjective capability of the proposed algorithm. In addition, it was verified that the proposed algorithm can be used to improve the performance of the other norm based non-local means denoising algorithms-
dc.language한국어-
dc.language.isoko-
dc.publisher한국전기전자학회-
dc.relation.isPartOf전기전자학회논문지-
dc.subjectNon-local means denoising-
dc.subjectmixed norm-
dc.subjectweighting function-
dc.subjectlocal activity-
dc.subjectnoise level-
dc.title혼합 norm 기반의 가중치 함수를 이용한 평균 노이즈 제거 기법-
dc.title.alternativeNon-Local Means Denoising Method using Weighting Function based on Mixed norm-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitation전기전자학회논문지, v.20, no.2, pp.136 - 142-
dc.identifier.kciidART002127710-
dc.description.journalClass2-
dc.citation.endPage142-
dc.citation.number2-
dc.citation.startPage136-
dc.citation.title전기전자학회논문지-
dc.citation.volume20-
dc.contributor.affiliatedAuthor홍민철-
dc.identifier.urlhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002127710-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorNon-local means denoising-
dc.subject.keywordAuthormixed norm-
dc.subject.keywordAuthorweighting function-
dc.subject.keywordAuthorlocal activity-
dc.subject.keywordAuthornoise level-
dc.description.journalRegisteredClasskci-
dc.description.journalRegisteredClassother-
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