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Article: Image reconstruction using spectroscopic and hyperspectral information for compressive terahertz imaging

TitleImage reconstruction using spectroscopic and hyperspectral information for compressive terahertz imaging
Authors
KeywordsCompressed sensing
Hyperspectral
Multi frequency
Reconstruction algorithms
Terahertz
Issue Date2010
PublisherOptical Society of America. The Journal's web site is located at http://josaa.osa.org/journal/josaa/about.cfm
Citation
Journal Of The Optical Society Of America A: Optics And Image Science, And Vision, 2010, v. 27 n. 7, p. 1638-1646 How to Cite?
AbstractTerahertz (THz) time-domain imaging is an emerging modality and has attracted a lot of interest. However, existing THz imaging systems often require a long scan time and sophisticated system design. Recently, a new design incorporating compressed sensing (CS) leads to a lower detector cost and shorter scan time, in exchange for computation in an image reconstruction step. In this paper, we develop two reconstruction algorithms that can estimate the underlying scene as accurately as possible. First is a single-band CS reconstruction method, where we show that by making use of prior information about the phase and the correlation between the spatial distributions of the amplitude and phase, the reconstruction quality can be significantly improved over previously published methods. Second, we develop a method that uses the multi-frequency nature of the THz pulse. Through effective use of the spatial sparsity, spectroscopic phase information, and correlations across the hyperspectral bands, our method can further enhance the recovered image quality. This is demonstrated by computation on a set of experimental THz data captured in a single-pixel THz system. © 2010 Optical Society of America.
Persistent Identifierhttp://hdl.handle.net/10722/135093
ISSN
2015 Impact Factor: 1.457
2015 SCImago Journal Rankings: 1.059
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Zen_HK
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2011-07-27T01:28:17Z-
dc.date.available2011-07-27T01:28:17Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal Of The Optical Society Of America A: Optics And Image Science, And Vision, 2010, v. 27 n. 7, p. 1638-1646en_HK
dc.identifier.issn1084-7529en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135093-
dc.description.abstractTerahertz (THz) time-domain imaging is an emerging modality and has attracted a lot of interest. However, existing THz imaging systems often require a long scan time and sophisticated system design. Recently, a new design incorporating compressed sensing (CS) leads to a lower detector cost and shorter scan time, in exchange for computation in an image reconstruction step. In this paper, we develop two reconstruction algorithms that can estimate the underlying scene as accurately as possible. First is a single-band CS reconstruction method, where we show that by making use of prior information about the phase and the correlation between the spatial distributions of the amplitude and phase, the reconstruction quality can be significantly improved over previously published methods. Second, we develop a method that uses the multi-frequency nature of the THz pulse. Through effective use of the spatial sparsity, spectroscopic phase information, and correlations across the hyperspectral bands, our method can further enhance the recovered image quality. This is demonstrated by computation on a set of experimental THz data captured in a single-pixel THz system. © 2010 Optical Society of America.en_HK
dc.languageengen_US
dc.publisherOptical Society of America. The Journal's web site is located at http://josaa.osa.org/journal/josaa/about.cfmen_HK
dc.relation.ispartofJournal of the Optical Society of America A: Optics and Image Science, and Visionen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsJournal of the Optical Society of America. A: Optics, Image Science, and Vision. Copyright © Optical Society of America.-
dc.rightsThis paper was published in Journal of the Optical Society of America. A: Optics, Image Science, and Vision 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: http://www.opticsinfobase.org/abstract.cfm?URI=josaa-27-7-1638. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.-
dc.subjectCompressed sensing-
dc.subjectHyperspectral-
dc.subjectMulti frequency-
dc.subjectReconstruction algorithms-
dc.subjectTerahertz-
dc.titleImage reconstruction using spectroscopic and hyperspectral information for compressive terahertz imagingen_HK
dc.typeArticleen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1364/JOSAA.27.001638en_HK
dc.identifier.pmid20596150-
dc.identifier.scopuseid_2-s2.0-77955987826en_HK
dc.identifier.hkuros186760en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955987826&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue7en_HK
dc.identifier.spage1638en_HK
dc.identifier.epage1646en_HK
dc.identifier.eissn1520-8532-
dc.identifier.isiWOS:000279429700017-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridXu, Z=26640797900en_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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