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dc.contributor.authorAghasi, Alireza
dc.contributor.authorRomberg, Justin
dc.contributor.authorRedo-Sanchez, Albert
dc.contributor.authorHeshmat Dehkordi, Barmak
dc.contributor.authorNaqvi, Salman
dc.contributor.authorZhang, Mingjie
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2017-04-24T20:45:59Z
dc.date.available2017-04-24T20:45:59Z
dc.date.issued2016-09
dc.date.submitted2015-09
dc.identifier.issn2041-1723
dc.identifier.urihttp://hdl.handle.net/1721.1/108388
dc.description.abstractSpatial resolution, spectral contrast and occlusion are three major bottlenecks for non-invasive inspection of complex samples with current imaging technologies. We exploit the sub-picosecond time resolution along with spectral resolution provided by terahertz time-domain spectroscopy to computationally extract occluding content from layers whose thicknesses are wavelength comparable. The method uses the statistics of the reflected terahertz electric field at subwavelength gaps to lock into each layer position and then uses a time-gated spectral kurtosis to tune to highest spectral contrast of the content on that specific layer. To demonstrate, occluding textual content was successfully extracted from a packed stack of paper pages down to nine pages without human supervision. The method provides over an order of magnitude enhancement in the signal contrast and can impact inspection of structural defects in wooden objects, plastic components, composites, drugs and especially cultural artefacts with subwavelength or wavelength comparable layers.en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/ncomms12665en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleTerahertz time-gated spectral imaging for content extraction through layered structuresen_US
dc.typeArticleen_US
dc.identifier.citationRedo-Sanchez, Albert et al. “Terahertz Time-Gated Spectral Imaging for Content Extraction through Layered Structures.” Nature Communications 7 (2016): 12665.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorRedo-Sanchez, Albert
dc.contributor.mitauthorHeshmat Dehkordi, Barmak
dc.contributor.mitauthorNaqvi, Salman
dc.contributor.mitauthorZhang, Mingjie
dc.contributor.mitauthorRaskar, Ramesh
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsRedo-Sanchez, Albert; Heshmat, Barmak; Aghasi, Alireza; Naqvi, Salman; Zhang, Mingjie; Romberg, Justin; Raskar, Rameshen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0768-4815
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licensePUBLISHER_CCen_US


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