{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/90142"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/90142","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Computational 3D and reflectivity imaging with high photon efficiency","abstract":"Imaging the 3D structure and reflectivity of a scene can be done using photon-counting detectors. Traditional imagers of this type typically require hundreds of detected photons per pixel for accurate 3D and reflectivity imaging. Under low light-level conditions, in which the mean photon count is small, the inverse problem of forming 3D and reflectivity images is difficult due to the Poisson noise inherent in low-flux operation. In this thesis, we propose and study two computational imagers (one passive, one active) that can form accurate images at low light levels. We demonstrate the superior imaging quality of the proposed imagers by comparing them with the state-of-the-art optical imaging techniques.","abstract_html":"Imaging the 3D structure and reflectivity of a scene can be done using photon-counting detectors. Traditional imagers of this type typically require hundreds of detected photons per pixel for accurate 3D and reflectivity imaging. Under low light-level conditions, in which the mean photon count is small, the inverse problem of forming 3D and reflectivity images is difficult due to the Poisson noise inherent in low-flux operation. In this thesis, we propose and study two computational imagers (one passive, one active) that can form accurate images at low light levels. We demonstrate the superior imaging quality of the proposed imagers by comparing them with the state-of-the-art optical imaging techniques.","abstract_has_math":false,"creators":["Shin, Dongeek"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Vivek K Goyal and Jeffrey H. Shapiro."],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-22T22:22:15Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 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Traditional imagers of this type typically require hundreds of detected photons per pixel for accurate 3D and reflectivity imaging. Under low light-level conditions, in which the mean photon count is small, the inverse problem of forming 3D and reflectivity images is difficult due to the Poisson noise inherent in low-flux operation. In this thesis, we propose and study two computational imagers (one passive, one active) that can form accurate images at low light levels. We demonstrate the superior imaging quality of the proposed imagers by comparing them with the state-of-the-art optical imaging techniques."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M. in Computer Science and Engineering"]},{"key":"dc:title","label":"Title","values":["Computational 3D and reflectivity imaging with high photon efficiency"]}]}],"canonical_facts":{"dc:contributor.advisor":["Vivek K Goyal and Jeffrey H. 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Under low light-level conditions, in which the mean photon count is small, the inverse problem of forming 3D and reflectivity images is difficult due to the Poisson noise inherent in low-flux operation. In this thesis, we propose and study two computational imagers (one passive, one active) that can form accurate images at low light levels. We demonstrate the superior imaging quality of the proposed imagers by comparing them with the state-of-the-art optical imaging techniques."],"dc:description.degree":["S.M. in Computer Science and Engineering"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/90142"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Computational 3D and reflectivity imaging with high photon efficiency"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:22:15Z"}