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dc.contributor.authorPaliwal, Kuldipen_US
dc.contributor.authorSo, Stephenen_US
dc.date.accessioned2017-05-03T13:01:33Z
dc.date.available2017-05-03T13:01:33Z
dc.date.issued2005en_US
dc.date.modified2009-09-21T05:47:24Z
dc.identifier.issn09235965en_US
dc.identifier.doi10.1016/j.image.2005.03.001en_AU
dc.identifier.urihttp://hdl.handle.net/10072/4281
dc.description.abstractWhile block transform image coding has not been very popular lately in the presence of current state-of-the-art wavelet-based coders, the Gaussian mixture model (GMM)-based block quantiser, without the use of entropy coding, is still very competitive in the class of fixed rate transform coders. In this paper, a GMM-based block quantiser of low computational complexity is presented which is based on the discrete cosine transform (DCT). It is observed that the assumption of Gaussian mixture components in a GMM having Gauss-Markov properties is a reasonable one with the DCT approaching the optimality of the Karhunen-Lo/`eve transform (KLT) as a decorrelator. Performance gains of 6 to 7 dB are reported over the traditional single Gaussian block quantiser at 1 bit per pixel. The DCT possesses two advantages over the KLT: being fixed and source independent, which means it only needs to be applied once; and the availability of fast and efficient implementations. These advantages, together with bitrate scalability, result in a block quantiser that is considerably faster and less complex while the novelty of using a GMM to model the source probability density function is still preserved.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherElsevieren_US
dc.publisher.placeAmsterdam, The Netherlandsen_US
dc.publisher.urihttp://www.elsevier.com/wps/find/journaldescription.cws_home/505651/description#descriptionen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom435en_US
dc.relation.ispartofpageto446en_US
dc.relation.ispartofjournalSignal Processing: Image Communicationen_US
dc.relation.ispartofvolume20en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280204en_US
dc.subject.fieldofresearchcode280203en_US
dc.titleLow complexity GMM-based block quantisation of images using the discrete cosine transformen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2005 Elsevier : Reproduced in accordance with the copyright policy of the publisher : This journal is available online - use hypertext links.en_AU
gro.date.issued2005
gro.hasfulltextNo Full Text


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