Spherical coding algorithm for wavelet image compression

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dc.authorid0000-0002-6842-1528
dc.contributor.authorAteş, Hasan Fehmien_US
dc.contributor.authorOrchard, Michael T.en_US
dc.date.accessioned2015-01-15T23:01:19Z
dc.date.available2015-01-15T23:01:19Z
dc.date.issued2009-05
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.descriptionThis work was supported in part by the National Science Foundation under Grant DMS9872890 and in part by the Isik University BAP-05B302 Grant.en_US
dc.description.abstractIn recent literature, there exist many high-performance wavelet coders that use different spatially adaptive coding techniques in order to exploit the spatial energy compaction property of the wavelet transform. Two crucial issues in adaptive methods are the level of flexibility and the coding efficiency achieved while modeling different image regions and allocating bitrate within the wavelet subbands. In this paper, we introduce the "spherical coder," which provides a new adaptive framework for handling these issues in a simple and effective manner. The coder uses local energy as a direct measure to differentiate between parts of the wavelet subband and to decide how to allocate the available bitrate. As local energy becomes available at finer resolutions, i.e., in smaller size windows, the coder automatically updates its decisions about how to spend the bitrate. We use a hierarchical set of variables to specify and code the local energy up to the highest resolution, i.e., the energy of individual wavelet coefficients. The overall scheme is nonredundant, meaning that the subband information is conveyed using this equivalent set of variables without the need for any side parameters. Despite its simplicity, the algorithm produces PSNR results that are competitive with the state-of-art coders in literature.en_US
dc.description.sponsorshipIsik Universityen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.description.versionPublisher's Versionen_US
dc.description.versionAuthor Post Printen_US
dc.identifier.citationAteş, H. F. & Orchard, M. T. (2009). Spherical coding algorithm for wavelet image compression. IEEE Transactions on Image Processing, 18(5), 1015-1024. doi:10.1109/TIP.2009.2014502en_US
dc.identifier.doi10.1109/TIP.2009.2014502
dc.identifier.endpage1024
dc.identifier.issn1057-7149
dc.identifier.issn1941-0042
dc.identifier.issue5
dc.identifier.pmid19342336
dc.identifier.scopus2-s2.0-65149096033
dc.identifier.scopusqualityQ1
dc.identifier.startpage1015
dc.identifier.urihttps://hdl.handle.net/11729/331
dc.identifier.urihttp://dx.doi.org/10.1109/TIP.2009.2014502
dc.identifier.volume18
dc.identifier.wosWOS:000265091700009
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAteş, Hasan Fehmien_US
dc.institutionauthorid0000-0002-6842-1528
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.sourceIEEE Transactions on Image Processingen_US
dc.subjectCodingen_US
dc.subjectImageen_US
dc.subjectWaveleten_US
dc.subjectAdaptive codingen_US
dc.subjectBit rateen_US
dc.subjectCompactionen_US
dc.subjectEnergy measurementen_US
dc.subjectEnergy resolutionen_US
dc.subjectImage codingen_US
dc.subjectPSNRen_US
dc.subjectWavelet coefficientsen_US
dc.subjectWavelet domainen_US
dc.subjectWavelet transformsen_US
dc.subjectCoderen_US
dc.subjectSpherical coding algorithmen_US
dc.subjectWavelet image compressionen_US
dc.subjectWavelet subbanden_US
dc.subjectCodecsen_US
dc.subjectImage compressionen_US
dc.subjectAdaptive frameworksen_US
dc.subjectAdaptive methodsen_US
dc.subjectBit ratesen_US
dc.subjectCoding algorithmsen_US
dc.subjectCoding efficienciesen_US
dc.subjectDirect measuresen_US
dc.subjectHighest resolutionsen_US
dc.subjectImage regionsen_US
dc.subjectLocal energiesen_US
dc.subjectSpatial energiesen_US
dc.subjectSpatially adaptiveen_US
dc.subjectSub bandsen_US
dc.subjectWavelet codersen_US
dc.titleSpherical coding algorithm for wavelet image compressionen_US
dc.typeArticleen_US
dspace.entity.typePublication

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