Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1547
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLui, KC-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:31Z-
dc.date.available2014-12-11T08:26:31Z-
dc.identifier.isbn0-7803-8687-6-
dc.identifier.urihttp://hdl.handle.net/10397/1547-
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.subjectGenetic algorithmsen_US
dc.subjectImage codingen_US
dc.subjectImage colour analysisen_US
dc.subjectImage restorationen_US
dc.titleRestoring halftoned color-quantized image with genetic algorithmsen_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.abstractRestoration of color quantized images is rarely addressed in the literature especially when the images are color quantized with halftoning. Conventional color image restoration algorithms are not suitable for handling this problem. A new restoration algorithm based on a genetic algorithm is presented in this paper. This algorithm makes use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results showed that it was able to provide a very promising restoration result.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationISIMP 2004 : proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing : October 20-22, 2004, Hong Kong, p. 202-205-
dcterms.issued2004-
dc.identifier.isiWOS:000227714000051-
dc.identifier.scopus2-s2.0-14544271376-
dc.identifier.rosgroupidr25198-
dc.description.ros2004-2005 > 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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