Hierarchical quantization indexing for wavelet and wavelet packet image coding

dc.authorid0000-0002-6842-1528
dc.contributor.authorAteş, Hasan Fehmien_US
dc.contributor.authorTamer, Enginen_US
dc.date.accessioned2015-01-15T23:01:36Z
dc.date.available2015-01-15T23:01:36Z
dc.date.issued2010-02
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.descriptionThis research was supported by Isik University BAP-05B302 Granten_US
dc.description.abstractIn this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes. Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients. Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger Subsets. The class assignments are optimized using a rate-distortion cost analysis. The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree. Context-adaptive arithmetic coding is used to improve coding efficiency. The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature.en_US
dc.description.sponsorshipIsik Universityen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAteş, H. F. & Tamer, E. (2010). Hierarchical quantization indexing for wavelet and wavelet packet image coding. Signal Processing: Image Communication, 25(2), 111-120. doi:10.1016/j.image.2009.09.007en_US
dc.identifier.doi10.1016/j.image.2009.09.007
dc.identifier.endpage120
dc.identifier.issn0923-5965
dc.identifier.issn1879-2677
dc.identifier.issue2
dc.identifier.scopus2-s2.0-75849157680
dc.identifier.scopusqualityQ1
dc.identifier.startpage111
dc.identifier.urihttps://hdl.handle.net/11729/381
dc.identifier.urihttp://dx.doi.org/10.1016/j.image.2009.09.007
dc.identifier.volume25
dc.identifier.wosWOS:000275582300004
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAteş, Hasan Fehmien_US
dc.institutionauthorTamer, Enginen_US
dc.institutionauthorid0000-0002-6842-1528
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Science BVen_US
dc.relation.ispartofSignal Processing: Image Communicationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage codingen_US
dc.subjectWaveletsen_US
dc.subjectWavelet packetsen_US
dc.subjectClassificationen_US
dc.subjectHierarchyen_US
dc.subjectSpace-frequency quantizationen_US
dc.subjectClassificationen_US
dc.subjectAlgorithmen_US
dc.subjectSeten_US
dc.subjectCost accountingen_US
dc.subjectFeature extractionen_US
dc.subjectVisual communicationen_US
dc.subjectAdaptive arithmetic codingen_US
dc.subjectClass assignmentsen_US
dc.subjectCoding efficiencyen_US
dc.subjectCost analysisen_US
dc.subjectHierarchical classificationen_US
dc.subjectMembership informationen_US
dc.subjectQuantization indexen_US
dc.subjectRate distortionsen_US
dc.subjectWavelet packet coefficienten_US
dc.subjectWavelet subbandsen_US
dc.titleHierarchical quantization indexing for wavelet and wavelet packet image codingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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