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19 August 1997 Bayesian theoretical approach to nonlinear joint-transform correlation
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Abstract
We propose a bayesian approach adapted to practical target detection and location tasks where the spectral density of a Gaussian additive noise is unknown. We demonstrate that the nonlinear joint-transform correlation, which is frequency used in optical correlators, is an accurate approximation of this optimal bayesian processor. This results constitutes a theoretical support for the use of nonlinearities in optical correlators.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philippe Refregier and Francois Goudail "Bayesian theoretical approach to nonlinear joint-transform correlation", Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); https://doi.org/10.1117/12.281277
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