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Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization

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dc.contributor.authorJung, Seung-Won-
dc.contributor.authorYoon, Yeo-Jin-
dc.contributor.authorNam, Hyeong-Min-
dc.contributor.authorKo, Sung-Jea-
dc.date.accessioned2021-09-08T11:03:15Z-
dc.date.available2021-09-08T11:03:15Z-
dc.date.created2021-06-11-
dc.date.issued2009-12-
dc.identifier.issn0916-8508-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/118822-
dc.description.abstractBlock truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose ail improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9 dB in average compared to the conventional VQ-BTC algorithms.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.subjectIMAGE COMPRESSION-
dc.titleImproved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Seung-Won-
dc.contributor.affiliatedAuthorKo, Sung-Jea-
dc.identifier.doi10.1587/transfun.E92.A.3369-
dc.identifier.scopusid2-s2.0-84884215758-
dc.identifier.wosid000273190700052-
dc.identifier.bibliographicCitationIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E92A, no.12, pp.3369 - 3371-
dc.relation.isPartOfIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES-
dc.citation.titleIEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES-
dc.citation.volumeE92A-
dc.citation.number12-
dc.citation.startPage3369-
dc.citation.endPage3371-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusIMAGE COMPRESSION-
dc.subject.keywordAuthorblock truncation coding-
dc.subject.keywordAuthortemplate matching-
dc.subject.keywordAuthorLaplacian distribution-
dc.subject.keywordAuthorLloyd quantization-
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