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Article: High-resolution image reconstruction from rotated and translated low-resolution images with multisensors

TitleHigh-resolution image reconstruction from rotated and translated low-resolution images with multisensors
Authors
KeywordsHigh Resolution
Low Resolution
Reconstruction
Issue Date2004
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/37666
Citation
International Journal Of Imaging Systems And Technology, 2004, v. 14 n. 2, p. 75-83 How to Cite?
AbstractWe extend the multisensor work by Bose and Boo (1998) and consider the perturbations of displacement error that are due to both translation and rotation. The warping process is introduced to obtain the ideal low-resolution image, which is located at exactly horizontal and vertical shift. In this approach, the problem of high-resolution image reconstruction is turned into the problem of image restoration, and the system becomes spatially invariant rather than spatially variant in the original problem. An efficient algorithm is presented. Experimental results show that the proposed methods are quite effective, and they perform better than the bilinear image interpolation method. © 2004 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/156221
ISSN
2015 Impact Factor: 0.571
2015 SCImago Journal Rankings: 0.620
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWen, YWen_US
dc.contributor.authorNg, MKen_US
dc.contributor.authorChing, WKen_US
dc.date.accessioned2012-08-08T08:40:54Z-
dc.date.available2012-08-08T08:40:54Z-
dc.date.issued2004en_US
dc.identifier.citationInternational Journal Of Imaging Systems And Technology, 2004, v. 14 n. 2, p. 75-83en_US
dc.identifier.issn0899-9457en_US
dc.identifier.urihttp://hdl.handle.net/10722/156221-
dc.description.abstractWe extend the multisensor work by Bose and Boo (1998) and consider the perturbations of displacement error that are due to both translation and rotation. The warping process is introduced to obtain the ideal low-resolution image, which is located at exactly horizontal and vertical shift. In this approach, the problem of high-resolution image reconstruction is turned into the problem of image restoration, and the system becomes spatially invariant rather than spatially variant in the original problem. An efficient algorithm is presented. Experimental results show that the proposed methods are quite effective, and they perform better than the bilinear image interpolation method. © 2004 Wiley Periodicals, Inc.en_US
dc.languageengen_US
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/37666en_US
dc.relation.ispartofInternational Journal of Imaging Systems and Technologyen_US
dc.rightsInternational Journal of Imaging Systems and Technology. Copyright © John Wiley & Sons, Inc.-
dc.subjectHigh Resolutionen_US
dc.subjectLow Resolutionen_US
dc.subjectReconstructionen_US
dc.titleHigh-resolution image reconstruction from rotated and translated low-resolution images with multisensorsen_US
dc.typeArticleen_US
dc.identifier.emailChing, WK:wching@hku.hken_US
dc.identifier.authorityChing, WK=rp00679en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1002/ima.20010en_US
dc.identifier.scopuseid_2-s2.0-4544366260en_US
dc.identifier.hkuros97989-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4544366260&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume14en_US
dc.identifier.issue2en_US
dc.identifier.spage75en_US
dc.identifier.epage83en_US
dc.identifier.isiWOS:000223440900006-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridWen, YW=7401777008en_US
dc.identifier.scopusauthoridNg, MK=34571761900en_US
dc.identifier.scopusauthoridChing, WK=13310265500en_US

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