File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Super-resolution image reconstruction using multisensors

TitleSuper-resolution image reconstruction using multisensors
Authors
KeywordsCosine transform
Image reconstruction
Joint minimization
Toeplitz matrices
Issue Date2005
PublisherJohn Wiley & Sons Ltd.
Citation
Numerical Linear Algebra With Applications, 2005, v. 12 n. 2-3, p. 271-281 How to Cite?
AbstractSuper-resolution image reconstruction refers to obtaining an image at a resolution higher than that of a camera (sensor) used in recording the image. In this paper, we present a new joint minimization model in which an objective function is set up consisting of three terms: the data fitting term, the regularization terms for the reconstructed image and the observed low-resolution images. An alternating minimization iterative algorithm is proposed and developed to reconstruct the image. We give a convergence analysis of the alternating minimization iterative algorithm and show that it converges for H 1-norm regularization Functional. Numerical examples are given to illustrate the effectiveness of the joint minimization model and the efficiency of the algorithm. Copyright ©2004 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/75238
ISSN
2015 Impact Factor: 1.431
2015 SCImago Journal Rankings: 1.250
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChing, WKen_HK
dc.contributor.authorNg, MKen_HK
dc.contributor.authorSze, KNen_HK
dc.contributor.authorYau, ACen_HK
dc.date.accessioned2010-09-06T07:09:14Z-
dc.date.available2010-09-06T07:09:14Z-
dc.date.issued2005en_HK
dc.identifier.citationNumerical Linear Algebra With Applications, 2005, v. 12 n. 2-3, p. 271-281en_HK
dc.identifier.issn1070-5325en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75238-
dc.description.abstractSuper-resolution image reconstruction refers to obtaining an image at a resolution higher than that of a camera (sensor) used in recording the image. In this paper, we present a new joint minimization model in which an objective function is set up consisting of three terms: the data fitting term, the regularization terms for the reconstructed image and the observed low-resolution images. An alternating minimization iterative algorithm is proposed and developed to reconstruct the image. We give a convergence analysis of the alternating minimization iterative algorithm and show that it converges for H 1-norm regularization Functional. Numerical examples are given to illustrate the effectiveness of the joint minimization model and the efficiency of the algorithm. Copyright ©2004 John Wiley & Sons, Ltd.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd.en_HK
dc.relation.ispartofNumerical Linear Algebra with Applicationsen_HK
dc.rightsNumerical Linear Algebra with Applications. Copyright © John Wiley & Sons Ltd.en_HK
dc.subjectCosine transformen_HK
dc.subjectImage reconstructionen_HK
dc.subjectJoint minimizationen_HK
dc.subjectToeplitz matricesen_HK
dc.titleSuper-resolution image reconstruction using multisensorsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1070-5325&volume=12 no2-3&spage=271&epage=281&date=2005&atitle=Super-resolution+image+reconstruction+using+multisensorsen_HK
dc.identifier.emailChing, WK:wching@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/nla.414en_HK
dc.identifier.scopuseid_2-s2.0-20744460745en_HK
dc.identifier.hkuros97975en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-20744460745&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume12en_HK
dc.identifier.issue2-3en_HK
dc.identifier.spage271en_HK
dc.identifier.epage281en_HK
dc.identifier.isiWOS:000228112200021-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChing, WK=13310265500en_HK
dc.identifier.scopusauthoridNg, MK=34571761900en_HK
dc.identifier.scopusauthoridSze, KN=7006735077en_HK
dc.identifier.scopusauthoridYau, AC=7003439939en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats