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dc.contributor.authorGerek, Ömer Nezih
dc.contributor.authorÇetin, AE
dc.date.accessioned2019-10-21T20:40:57Z
dc.date.available2019-10-21T20:40:57Z
dc.date.issued2000
dc.identifier.issn1057-7149
dc.identifier.issn1941-0042
dc.identifier.urihttps://dx.doi.org/10.1109/83.869176
dc.identifier.urihttps://hdl.handle.net/11421/20583
dc.descriptionWOS: 000089483200001en_US
dc.descriptionPubMed ID: 18262904en_US
dc.description.abstractSubband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral regions of the original data. However, this approach leads to various artifacts in images having spatially varying characteristics, such as images containing text, subtitles, or sharp edges. In this paper, adaptive filter banks with perfect reconstruction property are presented for such images. The filters of the decomposition structure which can be either linear or nonlinear vary according to the nature of the signal. This leads to improved image compression ratios. Simulation examples are presented.en_US
dc.language.isoengen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.isversionof10.1109/83.869176en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAdaptive Polyphase Structuresen_US
dc.subjectAdaptive Subband Decompositionen_US
dc.subjectImage Codingen_US
dc.subjectLifting Structuresen_US
dc.titleAdaptive polyphase subband decomposition structures for image compressionen_US
dc.typearticleen_US
dc.relation.journalIEEE Transactions On Image Processingen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume9en_US
dc.identifier.issue10en_US
dc.identifier.startpage1649en_US
dc.identifier.endpage1660en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorGerek, Ömer Nezih


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