Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1545
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:31Z-
dc.date.available2014-12-11T08:26:31Z-
dc.identifier.isbn0-7803-7304-9-
dc.identifier.urihttp://hdl.handle.net/10397/1545-
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.subjectCorrelation methodsen_US
dc.subjectImage denoisingen_US
dc.subjectImpulse noiseen_US
dc.subjectSearch problemsen_US
dc.titleAn improved algorithm for removing impulse noise based on long-range correlation in an imageen_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.abstractIn this paper, an algorithm for removing impulse noise is proposed. The proposed algorithm does not only use the information of neighboring pixels in a local region, but uses the long-range correlation within a natural image as well. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel accordingly. The method was found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2002 IEEE International Conference on Multimedia and Expo : proceedings, August 26-29, 2002, Swiss Federal Institute of Technology, Lausanne, Switzerland, v. 1, p. 157-160-
dcterms.issued2002-
dc.identifier.isiWOS:000178771600040-
dc.identifier.rosgroupidr13934-
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
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