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Rapid Generation of the State Codebook in Side Match Vector Quantization

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dc.contributor.authorPark, Hanhoon-
dc.contributor.authorPark, Jong-Il-
dc.date.accessioned2022-07-13T16:22:24Z-
dc.date.available2022-07-13T16:22:24Z-
dc.date.created2021-05-12-
dc.date.issued2017-08-
dc.identifier.issn1745-1361-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151875-
dc.description.abstractSide match vector quantization (SMVQ) has been originally developed for image compression and is also useful for steganography. SMVQ requires to create its own state codebook for each block in both encoding and decoding phases. Since the conventional method for the state codebook generation is extremely time-consuming, this letter proposes a fast generation method. The proposed method is tens times faster than the conventional one without loss of perceptual visual quality.-
dc.language영어-
dc.language.isoen-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.titleRapid Generation of the State Codebook in Side Match Vector Quantization-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Jong-Il-
dc.identifier.doi10.1587/transinf.2017EDL8029-
dc.identifier.scopusid2-s2.0-85026524221-
dc.identifier.wosid000406868400047-
dc.identifier.bibliographicCitationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E100D, no.8, pp.1934 - 1937-
dc.relation.isPartOfIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.citation.titleIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.citation.volumeE100D-
dc.citation.number8-
dc.citation.startPage1934-
dc.citation.endPage1937-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordAuthorside match vector quantization-
dc.subject.keywordAuthorstate codebook generation-
dc.subject.keywordAuthorcodeword clustering-
dc.subject.keywordAuthorsteganography-
dc.identifier.urlhttps://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2017EDL8029/_article-
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