We analyze the performance of a nonlinear correlation called the Locally Adaptive Contrast Invariant Filter in the presence of spatially disjoint noise under the peak-to-sidelobe ratio (PSR) metric. We show that the PSR using the nonlinear correlation improves as the disjoint noise intensity increases, whereas, for common linear filtering, it goes to zero. Experimental results as well as comparisons with a classical matched filter are given.
© 2010 Optical Society of America
Fourier Optics and Signal Processing
Original Manuscript: February 17, 2010
Revised Manuscript: June 30, 2010
Manuscript Accepted: July 7, 2010
Published: July 29, 2010
Walid Ben Tara, Henri H. Arsenault, and Pascuala García-Martínez, "Intensity invariant nonlinear correlation filtering in spatially disjoint noise," Appl. Opt. 49, 4284-4289 (2010)