Bayesian theoretical approach to nonlinear joint-transform correlation

Philippe Refregier; Francois Goudail

doi:10.1117/12.281277

19 August 1997 Bayesian theoretical approach to nonlinear joint-transform correlation

Philippe Refregier, Francois Goudail

Author Affiliations +

Proceedings Volume 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II; (1997) https://doi.org/10.1117/12.281277
Event: Lasers and Optics in Manufacturing III, 1997, Munich, Germany

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE