Analyzing and improving image quality in reflective ghost imaging

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.

Bibliographic Details
Main Author: Hardy, Nicholas D. (Nicholas David)
Other Authors: Jeffrey H. Shapiro.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/63078
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author Hardy, Nicholas D. (Nicholas David)
author2 Jeffrey H. Shapiro.
author_facet Jeffrey H. Shapiro.
Hardy, Nicholas D. (Nicholas David)
author_sort Hardy, Nicholas D. (Nicholas David)
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
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spelling mit-1721.1/630782019-04-12T16:10:33Z Analyzing and improving image quality in reflective ghost imaging Hardy, Nicholas D. (Nicholas David) Jeffrey H. Shapiro. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 91-93). Ghost imaging is a transverse imaging technique that relies on the correlation between a pair of light fields, one that has interacted with the object to be imaged and one that has not. Most ghost imaging experiments have been performed in transmission. and virtually all ghost imaging theory has addressed the transmissive case. Yet stand-off sensing applications require that the object be imaged in reflection. We use Gaussian-state analysis to develop expressions for the spatial resolution, image contrast. and signal-to-noise ratio for ghost imaging performed by measuring a fraction of the light that reflects off a rough-surfaced object that creates target returns with fully developed speckle. This is done for a pseudothermal source with phase-insensitive classical correlation between the two fields, and for a quantum source with non-classical phase-sensitive correlation between the fields. In the low flux limit this quantum source becomes the biphoton state. We compare our results to the corresponding behavior seen in transmissive ghost imaging, and we develop performance results for the reflective form of computational ghost imaging. We also provide a preliminary stand-off sensing performance comparison between reflective ghost imaging and a conventional direct-detection laser radar system. We also consider the resolution degradation on each system when the fields propagate through turbulence. Finally, we investigate ways of increasing the signal-to-noise ratio of reflective ghost imaging through use of multiple bucket detectors. multiple-wavelength sources, and compressive sensing. by Nicholas D. Hardy. S.M. 2011-05-23T18:14:07Z 2011-05-23T18:14:07Z 2011 2011 Thesis http://hdl.handle.net/1721.1/63078 725906674 eng 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 93 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Hardy, Nicholas D. (Nicholas David)
Analyzing and improving image quality in reflective ghost imaging
title Analyzing and improving image quality in reflective ghost imaging
title_full Analyzing and improving image quality in reflective ghost imaging
title_fullStr Analyzing and improving image quality in reflective ghost imaging
title_full_unstemmed Analyzing and improving image quality in reflective ghost imaging
title_short Analyzing and improving image quality in reflective ghost imaging
title_sort analyzing and improving image quality in reflective ghost imaging
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/63078
work_keys_str_mv AT hardynicholasdnicholasdavid analyzingandimprovingimagequalityinreflectiveghostimaging