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Conference Paper: Superresolution reconstruction using nonlinear gradient-based regularization

TitleSuperresolution reconstruction using nonlinear gradient-based regularization
Authors
KeywordsImage Reconstruction
Inverse Problem
Superresolution
Issue Date2009
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082
Citation
Multidimensional Systems And Signal Processing, 2009, v. 20 n. 4, p. 375-384 How to Cite?
AbstractThis paper discusses the problem of superresolution reconstruction. To preserve edges accurately and efficiently in the reconstruction, we propose a nonlinear gradient-based regularization that uses the gradient vector field of a preliminary high resolution image to configure a regularization matrix and compute the regularization parameters. Compared with other existing methods, it not only enhances the spatial resolution of the resulting images, but can also preserve edges and smooth noise to a greater extent. The advantages are shown in simulations and experiments with synthetic and real images. © 2008 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/158590
ISSN
2015 Impact Factor: 1.436
2015 SCImago Journal Rankings: 0.768
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xen_US
dc.contributor.authorLam, EYen_US
dc.date.accessioned2012-08-08T09:00:22Z-
dc.date.available2012-08-08T09:00:22Z-
dc.date.issued2009en_US
dc.identifier.citationMultidimensional Systems And Signal Processing, 2009, v. 20 n. 4, p. 375-384en_US
dc.identifier.issn0923-6082en_US
dc.identifier.urihttp://hdl.handle.net/10722/158590-
dc.description.abstractThis paper discusses the problem of superresolution reconstruction. To preserve edges accurately and efficiently in the reconstruction, we propose a nonlinear gradient-based regularization that uses the gradient vector field of a preliminary high resolution image to configure a regularization matrix and compute the regularization parameters. Compared with other existing methods, it not only enhances the spatial resolution of the resulting images, but can also preserve edges and smooth noise to a greater extent. The advantages are shown in simulations and experiments with synthetic and real images. © 2008 Springer Science+Business Media, LLC.en_US
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0923-6082en_US
dc.relation.ispartofMultidimensional Systems and Signal Processingen_US
dc.subjectImage Reconstructionen_US
dc.subjectInverse Problemen_US
dc.subjectSuperresolutionen_US
dc.titleSuperresolution reconstruction using nonlinear gradient-based regularizationen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, EY:elam@eee.hku.hken_US
dc.identifier.authorityLam, EY=rp00131en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11045-008-0072-1en_US
dc.identifier.scopuseid_2-s2.0-68349154415en_US
dc.identifier.hkuros171662-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-68349154415&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume20en_US
dc.identifier.issue4en_US
dc.identifier.spage375en_US
dc.identifier.epage384en_US
dc.identifier.isiWOS:000268304900005-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridZhang, X=7410271827en_US
dc.identifier.scopusauthoridLam, EY=7102890004en_US
dc.identifier.citeulike3796359-

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