Statistical detection and imaging of objects hidden in turbid media using ballistic photons
Applied Optics, Vol. 46, Issue 23, pp. 5805-5822 (2007)
http://dx.doi.org/10.1364/AO.46.005805
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Abstract
We exploit recent advances in active high-resolution imaging through scattering media with ballistic photons. We derive the fundamental limits on the accuracy of the estimated parameters of a mathematical model that describes such an imaging scenario and compare the performance of ballistic and conventional imaging systems. This model is later used to derive optimal single-pixel statistical tests for detecting objects hidden in turbid media. To improve the detection rate of the aforementioned single-pixel detectors, we develop a multiscale algorithm based on the generalized likelihood ratio test framework. Moreover, considering the effect of diffraction, we derive a lower bound on the achievable spatial resolution of the proposed imaging systems. Furthermore, we present the first experimental ballistic scanner that directly takes advantage of novel adaptive sampling and reconstruction techniques.
© 2007 Optical Society of America
OCIS Codes
(030.6600) Coherence and statistical optics : Statistical optics
(100.0100) Image processing : Image processing
(140.0140) Lasers and laser optics : Lasers and laser optics
(320.0320) Ultrafast optics : Ultrafast optics
ToC Category:
Image Processing
History
Original Manuscript: February 12, 2007
Revised Manuscript: June 27, 2007
Manuscript Accepted: June 24, 2007
Published: August 9, 2007
Virtual Issues
Vol. 2, Iss. 9 Virtual Journal for Biomedical Optics
Citation
Sina Farsiu, James Christofferson, Brian Eriksson, Peyman Milanfar, Benjamin Friedlander, Ali Shakouri, and Robert Nowak, "Statistical detection and imaging of objects hidden in turbid media using ballistic photons," Appl. Opt. 46, 5805-5822 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-23-5805
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