Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1522
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorCheung, SM-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:29Z-
dc.date.available2014-12-11T08:26:29Z-
dc.identifier.isbn0-7803-8603-5-
dc.identifier.urihttp://hdl.handle.net/10397/1522-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectImage codingen_US
dc.subjectMatrix algebraen_US
dc.subjectModulationen_US
dc.subjectNyquist diagramsen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectTransfer functionsen_US
dc.subjectVector quantizationen_US
dc.titleA technique for lossy compression of error-diffused halftonesen_US
dc.typeConference Paperen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractIn this paper, a new technique for lossy compression of halftone images is proposed based on the vector quantization technique. A conventional vector quantization encoder is modified such that it embeds a block-based error diffusion process and takes a HVS model into account during the compression. This modification significantly improves the visual performance of encoded images while the compression ratio achieved is identical to that of vector quantization.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationICME : 2004 IEEE International Conference Multimedia and Expo : Taipei, Taiwan, June 27-30, 2004, p. 1083-1086 (CD)-
dcterms.issued2004-
dc.identifier.isiWOS:000225567800276-
dc.identifier.scopus2-s2.0-11244270578-
dc.identifier.rosgroupidr19921-
dc.description.ros2003-2004 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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