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Article: Object reconstruction from adaptive compressive measurements in feature-specific imaging

TitleObject reconstruction from adaptive compressive measurements in feature-specific imaging
Authors
KeywordsAdaptive approach
Conventional imaging
Data measurements
Digital micro-mirror device
Experimental setup
Issue Date2010
PublisherOptical Society of America. The Journal's web site is located at http://ao.osa.org/journal/ao/about.cfm
Citation
Applied Optics, 2010, v. 49 n. 34, p. H27-H39 How to Cite?
AbstractStatic feature-specific imaging (SFSI), where the measurement basis remains fixed/static during the data measurement process, has been shown to be superior to conventional imaging for reconstruction tasks. Here, we describe an adaptive approach that utilizes past measurements to inform the choice of measurement basis for future measurements in an FSI system, with the goal of maximizing the reconstruction fidelity while employing the fewest measurements. An algorithm to implement this adaptive approach is developed for FSI systems, and the resulting systems are referred to as adaptive FSI (AFSI) systems. A simulation study is used to analyze the performance of the AFSI system for two choices of measurement basis: principal component (PC) and Hadamard. Here, the root mean squared error (RMSE) metric is employed to quantify the reconstruction fidelity. We observe that an AFSI system achieves as much as 30% lower RMSE compared to an SFSI system. The performance improvement of the AFSI systems is verified using an experimental setup employed using a digital micromirror device (DMD) array.
Persistent Identifierhttp://hdl.handle.net/10722/139226
ISSN
2010 Impact Factor: 1.707
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKe, Jen_US
dc.contributor.authorAshok, Aen_US
dc.contributor.authorNeifeld, MAen_US
dc.date.accessioned2011-09-23T05:47:24Z-
dc.date.available2011-09-23T05:47:24Z-
dc.date.issued2010en_US
dc.identifier.citationApplied Optics, 2010, v. 49 n. 34, p. H27-H39en_US
dc.identifier.issn0003-6935-
dc.identifier.urihttp://hdl.handle.net/10722/139226-
dc.description.abstractStatic feature-specific imaging (SFSI), where the measurement basis remains fixed/static during the data measurement process, has been shown to be superior to conventional imaging for reconstruction tasks. Here, we describe an adaptive approach that utilizes past measurements to inform the choice of measurement basis for future measurements in an FSI system, with the goal of maximizing the reconstruction fidelity while employing the fewest measurements. An algorithm to implement this adaptive approach is developed for FSI systems, and the resulting systems are referred to as adaptive FSI (AFSI) systems. A simulation study is used to analyze the performance of the AFSI system for two choices of measurement basis: principal component (PC) and Hadamard. Here, the root mean squared error (RMSE) metric is employed to quantify the reconstruction fidelity. We observe that an AFSI system achieves as much as 30% lower RMSE compared to an SFSI system. The performance improvement of the AFSI systems is verified using an experimental setup employed using a digital micromirror device (DMD) array.-
dc.languageengen_US
dc.publisherOptical Society of America. The Journal's web site is located at http://ao.osa.org/journal/ao/about.cfm-
dc.relation.ispartofApplied Opticsen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsApplied Optics. Copyright © Optical Society of America.-
dc.rightsThis paper was published in [Journal Name] and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: [article URL]. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. Final Version: Append journal code (eg JOSAA), volume (eg 19), issue (eg 1), and final start page number (eg 24) to the following base URL: Example http://www.opticsinfobase.org/abstract.cfm?URI=JOSAA-19-1-24-
dc.subjectAdaptive approach-
dc.subjectConventional imaging-
dc.subjectData measurements-
dc.subjectDigital micro-mirror device-
dc.subjectExperimental setup-
dc.titleObject reconstruction from adaptive compressive measurements in feature-specific imagingen_US
dc.typeArticleen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0003-6935&volume=49&issue=34&spage=H27&epage=H39&date=2010&atitle=Object+reconstruction+from+adaptive+compressive+measurements+in+feature-specific+imaging-
dc.identifier.emailKe, J: junke@eee.hku.hken_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1364/AO.49.000H27-
dc.identifier.pmid21124525-
dc.identifier.scopuseid_2-s2.0-78650433363-
dc.identifier.hkuros192221en_US
dc.identifier.volume49en_US
dc.identifier.issue34-
dc.identifier.spageH27en_US
dc.identifier.epageH39en_US
dc.identifier.isiWOS:000284830500005-

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