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Conference Paper: Preconditioned iterative methods for superresolution image reconstruction with multisensors

TitlePreconditioned iterative methods for superresolution image reconstruction with multisensors
Authors
KeywordsSpatially-variant operator
Preconditioned conjugate gradient
Cosine transform preconditioner
Regularization
Super-resolution image reconstruction
Issue Date2000
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
Citation
Advanced Signal Processing Algorithms, Architectures, and Implementations X, San Diego, USA, 2-4 August 2000, v. 4116, p. 396-405 How to Cite?
AbstractWe study the problem of reconstructing a super-resolution image f from multiple undersampled, sifted, degraded frames with subpixel displacement errors. The corresponding operator H is a spatially- variant operator. In this paper, we apply the preconditioned conjugate gradient method with cosine transform preconditioners to solve the discrete problems. Preliminary results show that our method converges very fast and gives sound recovery of the super- resolution images.
Persistent Identifierhttp://hdl.handle.net/10722/46605
ISSN

 

DC FieldValueLanguage
dc.contributor.authorNg, KPen_HK
dc.contributor.authorSze, KNen_HK
dc.date.accessioned2007-10-30T06:54:01Z-
dc.date.available2007-10-30T06:54:01Z-
dc.date.issued2000en_HK
dc.identifier.citationAdvanced Signal Processing Algorithms, Architectures, and Implementations X, San Diego, USA, 2-4 August 2000, v. 4116, p. 396-405en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46605-
dc.description.abstractWe study the problem of reconstructing a super-resolution image f from multiple undersampled, sifted, degraded frames with subpixel displacement errors. The corresponding operator H is a spatially- variant operator. In this paper, we apply the preconditioned conjugate gradient method with cosine transform preconditioners to solve the discrete problems. Preliminary results show that our method converges very fast and gives sound recovery of the super- resolution images.en_HK
dc.format.extent579755 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsS P I E - the International Society for Optical Proceedings. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCopyright 2000 Society of Photo-Optical Instrumentation Engineers. This paper was published in Advanced Signal Processing Algorithms, Architectures, and Implementations X, San Diego, USA, 2-4 August 2000, v. 4116, p. 396-405 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectSpatially-variant operatoren_HK
dc.subjectPreconditioned conjugate gradienten_HK
dc.subjectCosine transform preconditioneren_HK
dc.subjectRegularizationen_HK
dc.subjectSuper-resolution image reconstructionen_HK
dc.titlePreconditioned iterative methods for superresolution image reconstruction with multisensorsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=4116&spage=396&epage=405&date=2000&atitle=Preconditioned+iterative+methods+for+superresolution+image+reconstruction+with+multisensorsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.406518en_HK
dc.identifier.scopuseid_2-s2.0-0034503759-
dc.identifier.hkuros63237-

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