TREE-STRUCTURED RESIDUAL VECTOR QUANTIZATION WITH CONSTRAINED STORAGE FOR IMAGE-CODING

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dc.contributor.authorCHUN, KWko
dc.contributor.authorRa, Jong Beomko
dc.date.accessioned2013-02-25T03:25:11Z-
dc.date.available2013-02-25T03:25:11Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1994-09-
dc.identifier.citationELECTRONICS LETTERS, v.30, no.20, pp.1662 - 1664-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/59481-
dc.description.abstractA tree-structured residual vector quantisation (VQ) algorithm with constrained storage based on a codebook sharing algorithm is proposed. The algorithm provides an intermediate property of multistage VQ and tree-structured VQ, and thereby can trade off coding performance for storage requirement. The algorithm is especially suited to image coding where a large vector dimension is preferred due to its coding efficiency.-
dc.languageEnglish-
dc.publisherIEE-INST ELEC ENG-
dc.subjectQUANTIZATION-
dc.titleTREE-STRUCTURED RESIDUAL VECTOR QUANTIZATION WITH CONSTRAINED STORAGE FOR IMAGE-CODING-
dc.typeArticle-
dc.identifier.wosidA1994PN25000023-
dc.identifier.scopusid2-s2.0-0028513429-
dc.type.rimsART-
dc.citation.volume30-
dc.citation.issue20-
dc.citation.beginningpage1662-
dc.citation.endingpage1664-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.contributor.localauthorRa, Jong Beom-
dc.contributor.nonIdAuthorCHUN, KW-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorIMAGE CODING-
dc.subject.keywordAuthorVECTOR QUANTIZATION-
dc.subject.keywordPlusQUANTIZATION-
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