Influence of non-overlapping noise on regularized linear filters for pattern recognition
Résumé
We analyze the behavior of regularized linear f ilters 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 f ilters. The characteristics of those values are analyzed and discussed relative to the correlation length of the background noise.