Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1526
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:30Z-
dc.date.available2014-12-11T08:26:30Z-
dc.identifier.isbn0-7803-7622-6-
dc.identifier.urihttp://hdl.handle.net/10397/1526-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2002 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 colour analysisen_US
dc.subjectImage restorationen_US
dc.subjectIterative methodsen_US
dc.titleAn iterative algorithm for restorating color-quantized imagesen_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 studies the restoration of color-quantized images. Restoration of color-quantized images is rarely addressed in the literature, and direct applications of existing restoration techniques are generally inadequate to deal with this problem. We propose a POCS-based restoration algorithm specific to color-quantized images, which makes a good use of the available color palette to derive useful a priori information for restoration. The proposed restoration algorithm is shown to be capable of improving the quality of a color-quantized image to a certain extent.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationICIP : 2002 International Conference on Image Processing : proceedings : 22-25 September 2002, Rochester, New York, USA, p. I313-I316-
dcterms.issued2002-
dc.identifier.isiWOS:000185208200079-
dc.identifier.scopus2-s2.0-0036449062-
dc.relation.ispartofbookICIP : 2002 International Conference on Image Processing : proceedings : 22-25 September 2002, Rochester, New York, USA-
dc.relation.conferenceIEEE International Conference on Image Processing [ICIP]-
dc.identifier.rosgroupidr11757-
dc.description.ros2002-2003 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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