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Conference Paper: A nonlinear image restoration framework using vector quantization

TitleA nonlinear image restoration framework using vector quantization
Authors
Lam, EY
Issue Date2004
PublisherIEEE, Computer Society.
Citation
Proceedings - Third International Conference On Image And Graphics, 2004, p. 2-5 How to Cite?
DOI: http://dx.doi.org/10.1109/ICIG.2004.15
AbstractVector quantization (VQ) is a powerful method used primarily in signal and image compression. In recent years, it has also been applied to various other image processing tasks, including image classification, histogram modification, and restoration. In this paper, we focus our attention on image restoration using VQ. We present a general framework that incorporates two other methods in the literature, and discuss our method that follows more naturally from this framework. With appropriate training data for the VQ codebook, this method can restore images beyond its diffraction limit. © 2004 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45760
ISBN
0-7695-2244-0
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2007-10-30T06:34:50Z-
dc.date.available2007-10-30T06:34:50Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings - Third International Conference On Image And Graphics, 2004, p. 2-5en_HK
dc.identifier.isbn0-7695-2244-0en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45760-
dc.description.abstractVector quantization (VQ) is a powerful method used primarily in signal and image compression. In recent years, it has also been applied to various other image processing tasks, including image classification, histogram modification, and restoration. In this paper, we focus our attention on image restoration using VQ. We present a general framework that incorporates two other methods in the literature, and discuss our method that follows more naturally from this framework. With appropriate training data for the VQ codebook, this method can restore images beyond its diffraction limit. © 2004 IEEE.en_HK
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dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - Third International Conference on Image and Graphicsen_HK
dc.rights©2004 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.-
dc.titleA nonlinear image restoration framework using vector quantizationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7695-2244-0&volume=&spage=2&epage=5&date=2004&atitle=A+Nonlinear+Image+Restoration+Framework+Using+Vector+Quantizationen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIG.2004.15en_HK
dc.identifier.scopuseid_2-s2.0-17044390962en_HK
dc.identifier.hkuros101039-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-17044390962&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2en_HK
dc.identifier.epage5en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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