Abstract

Speckle interferometry and speckle masking techniques are based on the measurement of the autocorrelation and triple-correlation functions. The measurement of intervals between photoevents has been proved to be a good alternative to direct evaluation of the correlation functions, since it is faster to compute and, under certain conditions, it can provide a better signal-to-noise ratio. We extend the interval and double-interval probability distribution techniques to the actual case of using clipped detection. The accuracy of these techniques is compared with that of the direct measurement of the autocorrelation and triple-correlation functions of clipped data.

© 1995 Optical Society of America

Bias compensation in the autocorrelation estimate from interevent interval statistics in clipped detection

M. P. Cagigal and P. M. Prieto
J. Opt. Soc. Am. A 12(12) 2693-2697 (1995)

Statistical approach to bias effects in the techniques of speckle interferometry and speckle masking

Claude Aime and Eric Aristidi
J. Opt. Soc. Am. A 9(10) 1812-1821 (1992)

Estimation of the photon-counting hole in the autocorrelation and triple correlation of clipped data

P. Prieto and M. P. Cagigal
J. Opt. Soc. Am. A 11(11) 2887-2891 (1994)

Correlation properties of clipped laser speckle

Joseph Marron and G. Michael Morris
J. Opt. Soc. Am. A 2(9) 1403-1410 (1985)

Photon-counting speckle imaging: the photon-counting hole in triple correlation

K.-H. Hofmann
J. Opt. Soc. Am. A 10(2) 329-335 (1993)