Photon-counting sensing is a widely used technique for low-light-level imaging applications. This paper proposes a distance information extraction method with photon-counting passive sensing under low-lightlevel conditions. The photo-counting passive sensing combined with integral imaging generates a photon-limited elemental image array. Maximum-likelihood estimation (MLE) is used to reconstruct the photon-limited image at certain depth levels. The distance information is extracted at the depth level that minimizes the sum of the standard deviation of the corresponding photo-events in the elemental image array. Experimental and simulation results confirm that the proposed method can extract the distance information of the object under low-light-level conditions.
© 2011 Optical Society of Korea
(030.5260) Coherence and statistical optics : Photon counting
(040.3780) Detectors : Low light level
(110.6880) Imaging systems : Three-dimensional image acquisition
(150.0150) Machine vision : Machine vision
Original Manuscript: August 25, 2011
Revised Manuscript: November 15, 2011
Manuscript Accepted: December 8, 2011
Published: December 25, 2011
Seok-Won Yeom, Yong-Hyen Woo, and Won-Woo Baek, "Distance Extraction by Means of Photon-Counting Passive Sensing Combined with Integral Imaging," J. Opt. Soc. Korea 15, 357-361 (2011)
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