Abstract

The effectiveness of photon-limited image correlation for recognition of realistic imagery is investigated. The correlation signal is obtained by cross correlating a low light-level input scene and a high light-level reference image. The dependence of the probability density function of the correlation signal on the average number of detected photoevents and on the number of gray levels in the images is illustrated. Monte Carlo simulations of image correlation using low light-level scenes are found to be in close agreement with the theoretical predictions.

© 1984 Optical Society of America

Scene matching using photon-limited images

G. M. Morris
J. Opt. Soc. Am. A 1(5) 482-488 (1984)

Rotation-invariant image recognition at low light levels

Thomas A. Isberg and G. Michael Morris
J. Opt. Soc. Am. A 3(7) 954-963 (1986)

Image correlation at low light levels

G. Michael Morris, Miles N. Wernick, and Thomas A. Isberg
Opt. Lett. 10(7) 315-317 (1985)

Image classification at low light levels

Miles N. Wernick and G. Michael Morris
J. Opt. Soc. Am. A 3(12) 2179-2187 (1986)

Computational imaging based on time-correlated single-photon-counting technique at low light level

Ying Yang, Jianhong Shi, Fei Cao, Jinye Peng, and Guihua Zeng
Appl. Opt. 54(31) 9277-9283 (2015)