We analyze the behavior of regularized linear filters designed for overlapping noise in the presence of images distorted by nonoverlapping noise. In particular we show that there necessarily exist non-null values of the target’s illumination that result in the failure of regularized linear filters. The characteristics of those values are analyzed and discussed relative to the correlation length of the background noise.
© 1995 Optical Society of America
François Goudail, Vincent Laude, and Philippe Réfrégier, "Influence of nonoverlapping noise on regularized linear filters for pattern recognition," Opt. Lett. 20, 2237-2239 (1995)