Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1508
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Fung, YH | - |
dc.creator | Chan, YH | - |
dc.date.accessioned | 2014-12-11T08:26:28Z | - |
dc.date.available | 2014-12-11T08:26:28Z | - |
dc.identifier.isbn | 1-4244-0367-7 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1508 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_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.rights | This 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.subject | Color image processing | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Error analysis | en_US |
dc.subject | Image quality | en_US |
dc.subject | Spurious signal noise | en_US |
dc.title | Restoration of halftoned color-quantized images using linear estimator | en_US |
dc.type | Conference Paper | en_US |
dc.description.otherinformation | Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.description.otherinformation | Refereed conference paper | en_US |
dcterms.abstract | Restoration 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | ICME 2006 : 2006 IEEE International Conference on Multimedia and Expo : proceedings : July 9-12, 2006, Toronto, Ontario, Canada, p. 453-456 | - |
dcterms.issued | 2006 | - |
dc.identifier.isi | WOS:000245384801004 | - |
dc.identifier.scopus | 2-s2.0-34247551858 | - |
dc.identifier.rosgroupid | r32230 | - |
dc.description.ros | 2006-2007 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Restoration of Halftoned Color-quantized images using linear estimator_06.pdf | 139.2 kB | Adobe PDF | View/Open |
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