Significance map pruning and other enhancements to SPIHT image coding algorithm

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dc.authorid0000-0001-6556-4104
dc.contributor.authorBayazıt, Uluğen_US
dc.date.accessioned2015-01-15T22:59:58Z
dc.date.available2015-01-15T22:59:58Z
dc.date.issued2003-10
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractThis paper proposes several enhancements to the Set Partitioning in Hierarchical Trees (SPIHT) image coding algorithm without changing the original algorithm's general skeleton. First and foremost, a method for significance map pruning based on a rate-distortion criterion is introduced. Specifically, the (Type A) sets of wavelet coefficients with small ratios of estimated distortion reduction to estimated rate contribution are deemed insignificant and effectively pruned. Even though determining such sets requires the computational complexity of the encoder to increase considerably with respect to the original SPIHT encoder, the original SPIHT decoder may still be used to decode the generated bitstream with a low computational complexity. The paper also proposes three low complexity enhancements by more sophisticated use of the adaptive arithmetic coder. Simulation results demonstrate that all these enhancements yield modest compression gains at moderate to high rates.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationBayazit, U. (2003). Significance map pruning and other enhancements to SPIHT image coding algorithm. Signal Processing: Image Communication, 18(9), 769-785. doi:10.1016/S0923-5965(03)00049-3en_US
dc.identifier.doi10.1016/S0923-5965(03)00049-3
dc.identifier.endpage785
dc.identifier.issn0923-5965
dc.identifier.issn1879-2677
dc.identifier.issue9
dc.identifier.scopus2-s2.0-0142093109
dc.identifier.scopusqualityQ2
dc.identifier.startpage769
dc.identifier.urihttps://hdl.handle.net/11729/125
dc.identifier.urihttp://dx.doi.org/10.1016/S0923-5965(03)00049-3
dc.identifier.volume18
dc.identifier.wosWOS:000186655800001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorBayazıt, Uluğen_US
dc.institutionauthorid0000-0001-6556-4104
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherElsevier Scienceen_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.subjectWaveleten_US
dc.subjectSPIHTen_US
dc.subjectPruningen_US
dc.subjectArithmetic codingen_US
dc.subjectHierarchical treesen_US
dc.subjectCompressionen_US
dc.subjectCoderen_US
dc.subjectPerformanceen_US
dc.subjectLosslessen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectHierarchical systemsen_US
dc.subjectMap pruningen_US
dc.titleSignificance map pruning and other enhancements to SPIHT image coding algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication

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