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dc.contributor.authorMihalik, J.
dc.date.accessioned2016-05-05T12:02:11Z
dc.date.available2016-05-05T12:02:11Z
dc.date.issued1997-12cs
dc.identifier.citationRadioengineering. 1997, vol. 6, č. 4, s. 10-13. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58373
dc.description.abstractAn adaptive image coding scheme, called multistage vector quantization (MSVQ) is proposed. A new algorithm of MSVQ uses clustering interpolation in DCT domain and enables vector quantization of large image blocks with tolerable encoding complexity. Their mean luminance values are efficiently removed by the spline interpolative vector quantizer using a small number of bits. It can achieve a very high compression rate for low detailed images without complicated classification of transform blocks and subvector construction.en
dc.formattextcs
dc.format.extent10-13cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1997/97_04_03.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectvector quantizationen
dc.subjectclustering interpolationen
dc.titleMultistage Vector Quantization of Image by Using Clustering Interpolation in DCT Domainen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume6cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Zobrazit minimální záznam

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