Nonlinear filters are used in many applications, including speech and image processing, owing to their ability to suppress noise and preserve signal features such as edges. This study presents a performance evaluation of non-linear filters derived from the robust point estimation theory. The first part of the work is a classification of various approaches to nonlinear filtering into three types of estimators according to the process of the filter. The second part is a computer implementation and evaluation of all of the filters discussed. Finally, a summary of experimental results is presented.
Carlos A. Pomalaza-Raez,
"Comparison Study Of Nonlinear Filters In Image Processing Applications," Optical Engineering 28(7), 287749 (1 July 1989). http://dx.doi.org/10.1117/12.7977031