Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1509
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
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/10397/1509-
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.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectError analysisen_US
dc.subjectImage codingen_US
dc.subjectImage reconstructionen_US
dc.subjectInformation theoryen_US
dc.subjectProblem solvingen_US
dc.subjectSet theoryen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectSimulated annealingen_US
dc.subjectVector quantizationen_US
dc.titleRestoring halftoned color-quantized images with simulated annealingen_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. Direct applications of existing restoration techniques are generally inadequate to deal with this problem. In this paper, a restoration algorithm based on simulated annealing is proposed to solve the problem. This algorithm makes a good use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. It is shown to be able to provide a good restoration result.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationICME : 2004 IEEE International Conference Multimedia and Expo : Taipei, Taiwan, June 27-30, 2004, p. 367-370 (CD)-
dcterms.issued2004-
dc.identifier.isiWOS:000225567800097-
dc.identifier.scopus2-s2.0-11244308147-
dc.identifier.rosgroupidr15937-
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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