title: Intensity invariant nonlinear correlation filtering in spatially disjoint noise.
abstract: 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.
authors.affiliation: Département de physique, génie physique et optique, Université Laval, Ste-Foy, Quebec G1K 7P4, Canada.
authors.forename: Walid
authors.initials: W
authors.lastname: Ben Tara
authors.forename: Henri H
authors.initials: HH
authors.lastname: Arsenault
authors.forename: Pascuala
authors.initials: P
authors.lastname: García-Martínez