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dc.contributor.advisorByrne, John
dc.contributor.authorFox, Ivan
dc.date.accessioned2019-07-25T09:49:37Z
dc.date.available2019-07-25T09:49:37Z
dc.date.issued2001
dc.identifier.citationIvan Fox, 'Hybrid feature-based transform coding of grey-level images', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2001, pp 241
dc.identifier.otherTHESIS 6177
dc.description.abstractThe objective of image compression is to achieve the minimum possible bit-rate, within certain bounds of computational complexity, and with a tolerable degree of distortion. In very low bit-rate coding it is generally accepted that the distortions introduced will be visible to some degree. The most widely used image coding techniques today QPEG, MPEG-2,H.263), are based on block transform coding with the discrete cosine transform (DCT).
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12458115
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleHybrid feature-based transform coding of grey-level images
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 241
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/88845


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