Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1533
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Choy, SSO | - |
dc.creator | Chan, YH | - |
dc.creator | Siu, WC | - |
dc.date.accessioned | 2014-12-11T08:24:53Z | - |
dc.date.available | 2014-12-11T08:24:53Z | - |
dc.identifier.issn | 1350-245X | - |
dc.identifier.uri | http://hdl.handle.net/10397/1533 | - |
dc.language.iso | en | en_US |
dc.publisher | The Institution of Engineering and Technology | en_US |
dc.rights | © IEE, 2000. This paper is a postprint of a paper submitted to and accepted for publication in IEE Proceedings-Vision, Image and Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. | en_US |
dc.subject | Uncorrelated transform domain | en_US |
dc.subject | Image restoration | en_US |
dc.subject | Regularisation | en_US |
dc.subject | Spatial content | en_US |
dc.subject | Uncorrelated components | en_US |
dc.subject | Decorrelation | en_US |
dc.subject | Edge regions | en_US |
dc.subject | Spatially adaptive weighting | en_US |
dc.subject | DCT | en_US |
dc.subject | DFT | en_US |
dc.subject | KLT | en_US |
dc.title | Image restoration by regularisation in uncorrelated transform domain | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Author name used in this publication: S. O. Choy | en_US |
dc.description.otherinformation | Author name used in this publication: Y. H. Chan | en_US |
dc.description.otherinformation | Author name used in this publication: W. C. Siu | en_US |
dc.description.otherinformation | Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.identifier.spage | 587 | - |
dc.identifier.epage | 594 | - |
dc.identifier.volume | 147 | - |
dc.identifier.issue | 6 | - |
dc.identifier.doi | 10.1049/ip-vis:20000383 | - |
dcterms.abstract | Conventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEE proceedings. Vision, image and signal processing, Dec. 2000, v. 147, no. 6, p. 587-594 | - |
dcterms.isPartOf | IEE proceedings. Vision, image, and signal processing | - |
dcterms.issued | 2000-12 | - |
dc.identifier.isi | WOS:000167096000015 | - |
dc.identifier.scopus | 2-s2.0-0034430727 | - |
dc.identifier.eissn | 1359-7108 | - |
dc.identifier.rosgroupid | r02005 | - |
dc.description.ros | 2000-2001 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
c_ieep00.pdf | Pre-published version | 358.86 kB | Adobe PDF | View/Open |
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