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dc.contributor.authorShi, Boxin
dc.contributor.authorZhao, Hang
dc.contributor.authorBen-Ezra, Moshe
dc.contributor.authorYeung, Sai-Kit
dc.contributor.authorFernandez-Cull, Christy
dc.contributor.authorShepard, R. Hamilton
dc.contributor.authorBarsi, Christopher
dc.contributor.authorRaskar, Ramesh
dc.date.accessioned2015-01-13T20:59:35Z
dc.date.available2015-01-13T20:59:35Z
dc.date.issued2014
dc.date.submitted2014-09
dc.identifier.isbn978-3-319-10589-5
dc.identifier.isbn978-3-319-10590-1
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/1721.1/92840
dc.description13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part Ien_US
dc.description.abstractThis paper presents a novel super-resolution framework by exploring the properties of non-conventional pixel layouts and shapes. We show that recording multiple images, transformed in the octic group, with a sensor of asymmetric sub-pixel layout increases the spatial sampling compared to a conventional sensor with a rectilinear grid of pixels and hence increases the image resolution. We further prove a theoretical bound for achieving well-posed super-resolution with a designated magnification factor w.r.t. the number and distribution of sub-pixels. We also propose strategies for selecting good sub-pixel layouts and effective super-resolution algorithms for our setup. The experimental results validate the proposed theory and solution, which have the potential to guide the future CCD layout design with super-resolution functionality.en_US
dc.description.sponsorshipUnited States. Air Force (Assistant Secretary of Defense for Research & Engineering Contract #FA8721-05-C-0002)en_US
dc.description.sponsorshipSUTD-MIT International Design Centre (Joint Postdoctoral Programme)en_US
dc.description.sponsorshipSingapore University of Technology and Design (SUTD StartUp Grant ISTD 2011 016)en_US
dc.description.sponsorshipSingapore. Ministry of Education (MOE Academic Research Fund MOE2013-T2-1-159)en_US
dc.language.isoen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-319-10590-1_17en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleSub-pixel Layout for Super-Resolution with Images in the Octic Groupen_US
dc.typeArticleen_US
dc.identifier.citationShi, Boxin, Hang Zhao, Moshe Ben-Ezra, Sai-Kit Yeung, Christy Fernandez-Cull, R. Hamilton Shepard, Christopher Barsi, and Ramesh Raskar. “Sub-Pixel Layout for Super-Resolution with Images in the Octic Group.” Computer Vision--ECCV 2014. D. Fleet et al. (Eds.). LNCS Vol. 8689. Berlin, Heidelberg: Springer, 2014. pp. 250-264.en_US
dc.contributor.departmentLincoln Laboratoryen_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.mitauthorShi, Boxinen_US
dc.contributor.mitauthorZhao, Hangen_US
dc.contributor.mitauthorBen-Ezra, Mosheen_US
dc.contributor.mitauthorFernandez-Cull, Christyen_US
dc.contributor.mitauthorShepard, R. Hamiltonen_US
dc.contributor.mitauthorBarsi, Christopheren_US
dc.contributor.mitauthorRaskar, Rameshen_US
dc.relation.journalComputer Vision – ECCV 2014en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsShi, Boxin; Zhao, Hang; Ben-Ezra, Moshe; Yeung, Sai-Kit; Fernandez-Cull, Christy; Shepard, R. Hamilton; Barsi, Christopher; Raskar, Rameshen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1613-931X
dc.identifier.orcidhttps://orcid.org/0000-0002-3254-3224
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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