DCT coding of nonrectangularly sampled images

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage133en_US
dc.citation.issueNumber9en_US
dc.citation.spage131en_US
dc.citation.volumeNumber1en_US
dc.contributor.authorGündüzhan, E.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorTekalp, A. M.en_US
dc.date.accessioned2016-02-08T10:53:30Z
dc.date.available2016-02-08T10:53:30Z
dc.date.issued1994en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractDiscrete cosine transform (DCT) coding is widely used for compression of rectangularly sampled images. In this letter, we address efficient DCT coding of nonrectangularly sampled images. To this effect, we discuss an efficient method for the computation of the DCT on nonrectangular sampling grids using the Smith-normal decomposition. Simulation results are provided.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:53:30Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1994
dc.identifier.doi10.1109/97.319026en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/25997
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/97.319026en_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.subjectAlgorithmsen_US
dc.subjectComputational methodsen_US
dc.subjectDigital signal processingen_US
dc.subjectImage compressionen_US
dc.subjectInterpolationen_US
dc.subjectMathematical modelsen_US
dc.subjectSamplingen_US
dc.subjectDiscrete cosine transform codingen_US
dc.subjectNonrectangularly sampled imagesen_US
dc.subjectSmith normal decompositionen_US
dc.subjectImage codingen_US
dc.titleDCT coding of nonrectangularly sampled imagesen_US
dc.typeArticleen_US

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