File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Preconditioned iterative methods for high-resolution image reconstruction with multisensors

TitlePreconditioned iterative methods for high-resolution image reconstruction with multisensors
Authors
KeywordsBlock-Toeplitz-Toeplitz-block-like matrix
Preconditioned conjugate gradient
Cosine transform preconditioner
Regularization
High-resolution image reconstruction
Issue Date1998
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 VIII, San Diego, California, USA, 22-24 July 1998. In Proceedings of SPIE, 1998, v. 3461, p. 348-357 How to Cite?
AbstractWe study the problem of reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel displacement errors. The corresponding reconstruction operators H is a spatially variant operator. In this paper, instead of using the usual zero boundary condition, the Neumann boundary condition is imposed on the images. The resulting discretization matrix of H is a block-Toeplitz-Toeplitz-block-like matrix. We apply the preconditioned conjugate gradient (PCG) method with cosine transform preconditioner to solve the discrete problems. Preliminary results how that the image model under the Neumann boundary condition gives better reconstructed high-resolution images than that under the zero boundary condition, and the PCG method converges very fast.
Persistent Identifierhttp://hdl.handle.net/10722/46602
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChan, RHen_HK
dc.contributor.authorChan, TFen_HK
dc.contributor.authorNg, MKen_HK
dc.contributor.authorTang, WCen_HK
dc.contributor.authorWong, CKTen_HK
dc.date.accessioned2007-10-30T06:53:57Z-
dc.date.available2007-10-30T06:53:57Z-
dc.date.issued1998en_HK
dc.identifier.citationAdvanced Signal Processing Algorithms, Architectures, and Implementations VIII, San Diego, California, USA, 22-24 July 1998. In Proceedings of SPIE, 1998, v. 3461, p. 348-357-
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46602-
dc.description.abstractWe study the problem of reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel displacement errors. The corresponding reconstruction operators H is a spatially variant operator. In this paper, instead of using the usual zero boundary condition, the Neumann boundary condition is imposed on the images. The resulting discretization matrix of H is a block-Toeplitz-Toeplitz-block-like matrix. We apply the preconditioned conjugate gradient (PCG) method with cosine transform preconditioner to solve the discrete problems. Preliminary results how that the image model under the Neumann boundary condition gives better reconstructed high-resolution images than that under the zero boundary condition, and the PCG method converges very fast.en_HK
dc.format.extent2284990 bytes-
dc.format.extent2007 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
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 1998 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/10.1117/12.325695-
dc.subjectBlock-Toeplitz-Toeplitz-block-like matrixen_HK
dc.subjectPreconditioned conjugate gradienten_HK
dc.subjectCosine transform preconditioneren_HK
dc.subjectRegularizationen_HK
dc.subjectHigh-resolution image reconstructionen_HK
dc.titlePreconditioned iterative methods for high-resolution image reconstruction with multisensorsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=3461&spage=348&epage=357&date=1998&atitle=Preconditioned+iterative+methods+for+high-resolution+image+reconstruction+with+multisensorsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.325695en_HK
dc.identifier.scopuseid_2-s2.0-0032225053-
dc.identifier.hkuros46939-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats