Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1494
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:26Z-
dc.date.available2014-12-11T08:26:26Z-
dc.identifier.isbn0-7803-9266-3-
dc.identifier.urihttp://hdl.handle.net/10397/1494-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2005 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.subjectColor image processingen_US
dc.subjectComputer simulationen_US
dc.subjectHysteresisen_US
dc.subjectMathematical modelsen_US
dc.subjectVector quantizationen_US
dc.titleA multiscale color error diffusion algorithm for color quantizationen_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.abstractThis paper presents a new multiscale vector error diffusion algorithm for color quantization. This iterative algorithm selects a pixel, color-quantizes it and then diffuses the quantization error with a non-causal filter at each iteration until all pixels are color-quantized. By doing so, directional hysteresis is completely eliminated and color impulses can be reduced to a certain extent. Simulation results show that it provides better outputs in terms of S-CIELAB color difference metric as compared with conventional approaches. The subjective quality of the output is also improved.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationISPACS 2005 : 2005 International Symposium on Intelligent Signal Processing and Communication Systems : December 13-16, 2005 : Chung Chi College, the Chinese University of Hong Kong, Hong Kong, p. 669-672-
dcterms.issued2005-
dc.identifier.isiWOS:000235933100168-
dc.identifier.scopus2-s2.0-33847201529-
dc.identifier.rosgroupidr26392-
dc.description.ros2005-2006 > 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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