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Compressive holography of diffuse objects.

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Date
2010-12-01
Authors
Choi, Kerkil
Horisaki, Ryoichi
Hahn, Joonku
Lim, Sehoon
Marks, Daniel L
Schulz, Timothy J
Brady, David J
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Abstract
We propose an estimation-theoretic approach to the inference of an incoherent 3D scattering density from 2D scattered speckle field measurements. The object density is derived from the covariance of the speckle field. The inference is performed by a constrained optimization technique inspired by compressive sensing theory. Experimental results demonstrate and verify the performance of our estimates.
Type
Journal article
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https://hdl.handle.net/10161/4203
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Scholars@Duke

Brady

David J. Brady

Michael J. Fitzpatrick Distinguished Professor Emeritus of Photonics
David Brady leads the Duke Information Spaces Project (DISP). Historically, DISP has focused on computational imaging systems, with particular emphasis on smart cameras for security, consumer, transportation and broadcast applications. Currently DISP focuses primarily on the use of artificial intelligence in camera arrays for interactive broadcasting.
Marks

Daniel L. Marks

Associate Research Professor in the Department of Electrical and Computer Engineering
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
Alphabetical list of authors with Scholars@Duke profiles.
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