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가우시안 잡음 제거를 위한 에지 검출을 활용한 위너 필터

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dc.contributor.authorKim, Seon-Yeol-
dc.contributor.authorYu, Song-Hyun-
dc.contributor.authorJeong, Je chang-
dc.date.accessioned2021-08-02T12:51:16Z-
dc.date.available2021-08-02T12:51:16Z-
dc.date.created2021-05-14-
dc.date.issued2018-11-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15900-
dc.description.abstractNoise is added to the image during image acquisition or transmission. The noise causes degradation of image quality due to loss of information. Gaussian noise is representative type of noise. Wiener filer is used to eliminate Gaussian noise. Conventional Wiener filter sometimes cannot remove noise effectively in flat regions due to the properties that preserve edges. In this paper, we propose a Wiener filter using edge detection to eliminate the noise effectively in flat region. Experimental results indicate the proposed algorithm shows better noise reduction performance than the conventional wiener filter.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한전자공학회-
dc.title가우시안 잡음 제거를 위한 에지 검출을 활용한 위너 필터-
dc.title.alternativeA Wiener Filter Using Edge Detection for Gaussian Noise Reduction-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, Je chang-
dc.identifier.bibliographicCitation2018 대한전자공학회 추계학술대회, pp.430 - 433-
dc.relation.isPartOf2018 대한전자공학회 추계학술대회-
dc.citation.title2018 대한전자공학회 추계학술대회-
dc.citation.startPage430-
dc.citation.endPage433-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/pdf/pdfView.do?nodeId=NODE07624892-
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서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

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