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Simple detection method and compensation filter to remove corner outlier artifacts

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dc.contributor.authorKim, Jongho-
dc.contributor.authorKim, Donghyung-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2022-12-21T10:38:31Z-
dc.date.available2022-12-21T10:38:31Z-
dc.date.created2022-08-26-
dc.date.issued2006-09-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181080-
dc.description.abstractWe propose a simple detection method and compensation filter in order to remove corner outlier artifacts. The corner outlier artifacts are detected based on the directions of edges going through a block corner and the characteristics of blocks around the edges. According to the detection results, we compensate the stair-shaped discontinuities, the so-called corner outlier artifacts, using the neighboring pixels of the artifacts in spatial domain. Simulation results show that the proposed method improves, when combined with a deblocking filter in particular, both objective and subjective visual quality.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleSimple detection method and compensation filter to remove corner outlier artifacts-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Donghyung-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.1007/11867586_48-
dc.identifier.scopusid2-s2.0-33749658415-
dc.identifier.wosid000241552700048-
dc.identifier.bibliographicCitationIMAGE ANALYSIS AND RECOGNITION, PT 1, v.4141, pp.516 - 525-
dc.relation.isPartOfIMAGE ANALYSIS AND RECOGNITION, PT 1-
dc.citation.titleIMAGE ANALYSIS AND RECOGNITION, PT 1-
dc.citation.volume4141-
dc.citation.startPage516-
dc.citation.endPage525-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordPlusBLOCKING ARTIFACTS-
dc.subject.keywordPlusDCT DOMAIN-
dc.subject.keywordPlusREDUCTION-
dc.subject.keywordAuthorcorner outlier artifact-
dc.subject.keywordAuthordeblocking filter-
dc.subject.keywordAuthorMPEG-4 video-
dc.subject.keywordAuthorlow bit-rate video-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/11867586_48-
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서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
서울 의과대학 > 서울 의학교육학교실 > 1. Journal Articles

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