Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1515
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChung, KH-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2014-12-11T08:26:27Z-
dc.date.available2014-12-11T08:26:27Z-
dc.identifier.isbn0-7803-7663-3-
dc.identifier.urihttp://hdl.handle.net/10397/1515-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2003 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.subjectConvolutionen_US
dc.subjectFractalsen_US
dc.subjectImage enhancementen_US
dc.subjectImage reconstructionen_US
dc.subjectInterpolationen_US
dc.titleImage enlargement using fractalen_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 fractal coding technique, an image is encoded by making use of its self-similarity property. The image can be reconstructed with some well-defined contractive mappings based on this property and hence, in theory, the reconstructed image can be of any desirable size by using an initial image of appropriate size during the decoding process. However, in practice, the enlarged image is always degraded due to the sub-optimal contractive mappings used. In this paper, a fractal-based image enlargement technique is proposed to reduce this problem. This technique can preserve the details in edge regions while maintaining the smoothness in flat regions, which is superior to conventional image enlargement techniques such as bilinear interpolation and cubic convolution.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong, p. VI273-VI276-
dcterms.issued2003-
dc.identifier.isiWOS:000185463700069-
dc.identifier.scopus2-s2.0-0141519599-
dc.identifier.rosgroupidr11768-
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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