Compressive holography of diffuse objects.
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 articlePermalink
https://hdl.handle.net/10161/4203Collections
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David J. Brady
Michael J. Fitzpatrick Distinguished Professor of Photonics in the Edmund T. Pratt,
Jr. School of Engineering
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.
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.
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