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Conference Paper: Adaptive compressive imaging for object reconstruction

TitleAdaptive compressive imaging for object reconstruction
Authors
KeywordsAdaptive
Compressive sensing
Feature-specific imaging
Compressive imaging
Issue Date2010
PublisherSociety of Photo-Optical Instrumentation Engineers (SPIE). The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
Citation
Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, San Diego, CA., 1-2 August 2010. In Proceedings of SPIE - The International Society for Optical Engineering, 2010, v. 7818, p. 781809-1-781809-8 How to Cite?
AbstractStatic Feature-specific imaging (SFSI) employing a fixed/static measurement basis has been shown to achieve superior reconstruction performance to conventional imaging under certain conditions.1-5 In this paper, we describe an adaptive FSI system in which past measurements inform the choice of measurement basis for future measurements so as to maximize the reconstruction fidelity while employing the fewest measurements. An algorithm to implement an adaptive FSI system for principle component (PC) measurement basis is described. The resulting system is referred to as a PC-based adaptive FSI (AFSI) system. A simulation study employing the root mean squared error (RMSE) metric to quantify the reconstruction fidelity is used to analyze the performance of the PC-based AFSI system. We observe that the AFSI system achieves as much as 30% lower RMSE compared to a SFSI system. © 2010 SPIE.
DescriptionSession 2 - Imaging and Non-Imaging Diffraction System Concepts: 7818 09 [7818A-08]
Persistent Identifierhttp://hdl.handle.net/10722/140203
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKe, Jen_US
dc.contributor.authorAshok, Aen_US
dc.contributor.authorNeifeld, MAen_US
dc.date.accessioned2011-09-23T06:08:44Z-
dc.date.available2011-09-23T06:08:44Z-
dc.date.issued2010en_US
dc.identifier.citationAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, San Diego, CA., 1-2 August 2010. In Proceedings of SPIE - The International Society for Optical Engineering, 2010, v. 7818, p. 781809-1-781809-8en_US
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/140203-
dc.descriptionSession 2 - Imaging and Non-Imaging Diffraction System Concepts: 7818 09 [7818A-08]-
dc.description.abstractStatic Feature-specific imaging (SFSI) employing a fixed/static measurement basis has been shown to achieve superior reconstruction performance to conventional imaging under certain conditions.1-5 In this paper, we describe an adaptive FSI system in which past measurements inform the choice of measurement basis for future measurements so as to maximize the reconstruction fidelity while employing the fewest measurements. An algorithm to implement an adaptive FSI system for principle component (PC) measurement basis is described. The resulting system is referred to as a PC-based adaptive FSI (AFSI) system. A simulation study employing the root mean squared error (RMSE) metric to quantify the reconstruction fidelity is used to analyze the performance of the PC-based AFSI system. We observe that the AFSI system achieves as much as 30% lower RMSE compared to a SFSI system. © 2010 SPIE.-
dc.languageengen_US
dc.publisherSociety of Photo-Optical Instrumentation Engineers (SPIE). The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings-
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.rightsProceedings of SPIE - The International Society for Optical Engineering. Copyright © Society of Photo-Optical Instrumentation Engineers (SPIE).-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAdaptive-
dc.subjectCompressive sensing-
dc.subjectFeature-specific imaging-
dc.subjectCompressive imaging-
dc.titleAdaptive compressive imaging for object reconstructionen_US
dc.typeConference_Paperen_US
dc.identifier.emailKe, J: junke@eee.hku.hken_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1117/12.861738-
dc.identifier.scopuseid_2-s2.0-78649805602-
dc.identifier.hkuros192222en_US
dc.identifier.volume7818-
dc.identifier.spage781809-1-
dc.identifier.epage781809-8-
dc.identifier.isiWOS:000285826900008-
dc.description.otherAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, San Diego, CA., 1-2 August 2010. In Proceedings of SPIE - The International Society for Optical Engineering, 2010, v. 7818, p. 781809-1-781809-8-

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