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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
Ng, KPSze, KN
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. In Proceedings of SPIE, 2000, v. 4116, p. 396-405 How to Cite?
DOI: http://dx.doi.org/10.1117/12.406518
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
0277-786X
2023 SCImago Journal Rankings: 0.152

 

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. In Proceedings of SPIE, 2000, v. 4116, p. 396-405-
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.relation.ispartofProceedings of SPIE-
dc.rightsCopyright 2000 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/12.406518-
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-
dc.identifier.issnl0277-786X-

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