2026-09-19T16:23:11Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/901422022-01-13T07:54:01Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Vivek K Goyal and Jeffrey H. Shapiro.
Shin, Dongeek
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-09-19T21:42:13Z
2014-09-19T21:42:13Z
2014
2014
http://hdl.handle.net/1721.1/90142
890152411
Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
45
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 77-81).
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.
by Dongeek Shin.
S.M. in Computer Science and Engineering
81 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Computational 3D and reflectivity imaging with high photon efficiency
Computational 3-dimensional and reflectivity imaging with high photon efficiency
Computational three-D and reflectivity imaging with high photon efficiency
Computational three-dimensional and reflectivity imaging with high photon efficiency
Thesis
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<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>
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