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dc.contributor.authorTorres Urgell, Lluís
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.authorArias, E
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-12-07T16:28:13Z
dc.date.issued1997-11
dc.identifier.citationTorres, L., Casas, J., Arias, E. Stochastic vector quantization of images. "Signal processing", Novembre 1997, vol. 62, núm. 3, p. 291-301.
dc.identifier.issn0165-1684
dc.identifier.urihttp://hdl.handle.net/2117/97894
dc.description.abstractOne of the most important steps in the vector quantization of images is the design of the codebook. The codebook is generally designed using the LBG algorithm, that is in essence a clustering algorithm which uses a large training set of empirical data that is statistically representative of the image to be quantized. The LBG algorithm, although quite effective for practical applications, is computationally very expensive and the resulting codebook has to be recalculated each time the type of image to be encoded changes. One alternative to the generation of the codebook, called stochastic vector quantization, is presented in this paper. Stochastic vector quantization (SVQ) is based on the generation of the codebook according to some previous model defined for the image to be encoded. The well-known AR model has been used to model the image in the current implementations of the technique, and has shown good performance in the overall scheme. To show the merit of the technique in different contexts, stochastic vector quantization is discussed and applied to both pixel-based and segmentation-based image coding schemes.
dc.format.extent11 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.subject.otherImage coding
dc.subject.otherImage compression
dc.subject.otherVector quantization
dc.subject.otherImage models
dc.titleStochastic vector quantization of images
dc.typeArticle
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. DMAG - Grup d'Aplicacions Multimèdia Distribuïdes
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1016/S0165-1684(97)00130-8
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com.recursos.biblioteca.upc.edu/science/article/pii/S0165168497001308
dc.rights.accessRestricted access - publisher's policy
drac.iddocument780621
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorTorres, L., Casas, J., Arias, E.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameSignal processing
upcommons.citation.volume62
upcommons.citation.number3
upcommons.citation.startingPage291
upcommons.citation.endingPage301


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