Title :
Some theory of multistage order statistic filters
Author :
Boncelet, Charles G., Jr. ; Hakami, R. ; Warter, P.J.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Abstract :
The removal of noise by a class of order statistic filters, called multistage order statistic filters or multiwindow filters, is described. These filters take `ranks of ranks´. A new filter type is defined and its equivalence under special circumstances to a filter defined in the literature is shown. This filter´s deterministic and statistical properties are explored. This filter is believed to be the best available for smoothing high signal-to-noise ratio images
Keywords :
filtering and prediction theory; picture processing; random noise; deterministic properties; equivalence; filter type; multistage order statistic filters; multiwindow filters; noise; signal-to-noise ratio images; statistical properties; Digital filters; Digital images; Filtering theory; Gaussian noise; Noise level; Nonlinear filters; Signal processing; Signal to noise ratio; Smoothing methods; Statistics;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101794
