Wavelet image coding using the spherical representation

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dc.authorid0000-0002-6842-1528
dc.contributor.authorAteş, Hasan Fehmien_US
dc.contributor.authorOrchard, Michael T.en_US
dc.date.accessioned2015-07-14T23:48:26Z
dc.date.available2015-07-14T23:48:26Z
dc.date.issued2005
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractIn this paper, we introduce the "spherical representation", which provides a new adaptive framework for modeling and coding the image information in wavelet subbands. Based on this representation, a practical coding algorithm is developed. This 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.versionPublisher's Versionen_US
dc.identifier.citationAteş, H. F. & Orchard, M. T. (2005). Wavelet image coding using the spherical representation. Paper presented at the IEEE International Conference on Image Processing 2005, 693-696. doi:10.1109/ICIP.2005.1529694en_US
dc.identifier.doi10.1109/ICIP.2005.1529694
dc.identifier.endpage696
dc.identifier.isbn0780391349
dc.identifier.issn1522-4880
dc.identifier.issn2381-8549
dc.identifier.scopus2-s2.0-33749593605
dc.identifier.scopusqualityN/A
dc.identifier.startpage693
dc.identifier.urihttps://hdl.handle.net/11729/657
dc.identifier.urihttp://dx.doi.org/10.1109/ICIP.2005.1529694
dc.identifier.wosWOS:000235773300174
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorAteş, Hasan Fehmien_US
dc.institutionauthorid0000-0002-6842-1528
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE International Conference on Image Processing 2005en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSeten_US
dc.subjectBit rateen_US
dc.subjectCompression algorithmsen_US
dc.subjectEnergy measurementen_US
dc.subjectEnergy resolutionen_US
dc.subjectImage codingen_US
dc.subjectImage representationen_US
dc.subjectPSNRen_US
dc.subjectPower engineering and energyen_US
dc.subjectWavelet coefficientsen_US
dc.subjectWavelet domainen_US
dc.subjectImage informationen_US
dc.subjectIndividual wavelet coefficientsen_US
dc.subjectLocal energyen_US
dc.subjectPractical coding algorithmen_US
dc.subjectSpherical representationen_US
dc.subjectState-of-art codersen_US
dc.subjectWavelet image codingen_US
dc.subjectWavelet subbandsen_US
dc.subjectImage resolutionen_US
dc.subjectWavelet transformsen_US
dc.subjectAlgorithmsen_US
dc.subjectHierarchical systemsen_US
dc.subjectInformation analysisen_US
dc.subjectCoding algorithmsen_US
dc.subjectSubband informationen_US
dc.titleWavelet image coding using the spherical representationen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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