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Article: Mathematical analysis of super-resolution methodology

TitleMathematical analysis of super-resolution methodology
Authors
Issue Date2003
PublisherIEEE.
Citation
IEEE - Signal Processing Magazine, 2003, v. 20 n. 3, p. 62-74 How to Cite?
AbstractThe attainment of super resolution (SR) from a sequence of degraded undersampled images could be viewed as reconstruction of the high-resolution (HR) image from a finite set of its projections on a sampling lattice. This can then be formulated as an optimization problem whose solution is obtained by minimizing a cost function. The approaches adopted and their analysis to solve the formulated optimization problem are crucial, The image acquisition scheme is important in the modeling of the degradation process. The need for model accuracy is undeniable in the attainment of SR along with the design of the algorithm whose robust implementation will produce the desired quality in the presence of model parameter uncertainty. To keep the presentation focused and of reasonable size, data acquisition with multisensors instead of, say a video camera is considered.
Persistent Identifierhttp://hdl.handle.net/10722/43001
ISSN
2015 Impact Factor: 6.671
2015 SCImago Journal Rankings: 3.413
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNg, MKen_HK
dc.contributor.authorBose, NKen_HK
dc.date.accessioned2007-03-23T04:36:36Z-
dc.date.available2007-03-23T04:36:36Z-
dc.date.issued2003en_HK
dc.identifier.citationIEEE - Signal Processing Magazine, 2003, v. 20 n. 3, p. 62-74en_HK
dc.identifier.issn1053-5888en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43001-
dc.description.abstractThe attainment of super resolution (SR) from a sequence of degraded undersampled images could be viewed as reconstruction of the high-resolution (HR) image from a finite set of its projections on a sampling lattice. This can then be formulated as an optimization problem whose solution is obtained by minimizing a cost function. The approaches adopted and their analysis to solve the formulated optimization problem are crucial, The image acquisition scheme is important in the modeling of the degradation process. The need for model accuracy is undeniable in the attainment of SR along with the design of the algorithm whose robust implementation will produce the desired quality in the presence of model parameter uncertainty. To keep the presentation focused and of reasonable size, data acquisition with multisensors instead of, say a video camera is considered.en_HK
dc.format.extent586028 bytes-
dc.format.extent26112 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleMathematical analysis of super-resolution methodologyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-5888&volume=20&issue=3&spage=62&epage=74&date=2003&atitle=Mathematical+analysis+of+super-resolution+methodologyen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/MSP.2003.1203210en_HK
dc.identifier.scopuseid_2-s2.0-0038324181-
dc.identifier.hkuros76490-
dc.identifier.isiWOS:000182495400009-
dc.identifier.citeulike3203590-

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