Abstract
Integral imaging combined with photon-counting detection has been
researched for three-dimensional information sensing under low-light-level
conditions. This paper addresses the extraction of distance information
with photon-counting integral imaging. The longitudinal distance to the
object is obtained utilizing photon-counting elemental images. The pixel
disparity is estimated by maximizing the nonlinear correlation of
photocounts. The first- and second-order statistical properties of the
nonlinear correlation are theoretically derived. In the experiments, these
properties are verified by varying the mean number of photocounts in the
scene. The average distance is compared to that from the intensity
information, showing the robustness of the proposed system even at low
photocounts.
© 2016 Optical Society of Korea
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