Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1508
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:28Z-
dc.date.available2014-12-11T08:26:28Z-
dc.identifier.isbn1-4244-0367-7-
dc.identifier.urihttp://hdl.handle.net/10397/1508-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2006 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.subjectError analysisen_US
dc.subjectImage qualityen_US
dc.subjectSpurious signal noiseen_US
dc.titleRestoration of halftoned color-quantized images using linear estimatoren_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 in which error diffusion is involved is rarely addressed in the literature. Conventional restoration algorithms were generally proposed for handling other noise models and hence they are not effective in restoring color-quantized images. In this paper, we tackle this problem by making use of the best linear estimation. It is shown by the simulation results that the algorithm can improve the quality of color-quantized images to a certain extent.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationICME 2006 : 2006 IEEE International Conference on Multimedia and Expo : proceedings : July 9-12, 2006, Toronto, Ontario, Canada, p. 453-456-
dcterms.issued2006-
dc.identifier.isiWOS:000245384801004-
dc.identifier.scopus2-s2.0-34247551858-
dc.identifier.rosgroupidr32230-
dc.description.ros2006-2007 > 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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