Title :
Multivariate median filters and their extensions
Author :
Kassam, Saleem A. ; Aburdene, Maurice
Author_Institution :
Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
The authors consider a new class of multivariate median filters, based on the radial medians. The radial medians and the minimum-distance median are then investigated for their use in defining multivariate L-filters, for better smoothing in the presence of Gaussian noise. Examples of filtering performance are presented
Keywords :
filtering and prediction theory; interference suppression; signal processing; Gaussian noise; filtering performance; minimum-distance median; multivariate L-filters; multivariate median filters; radial medians; smoothing; Additive noise; Filtering; Filters; Gaussian noise; Multispectral imaging; Pixel; Smoothing methods; Statistics;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176279
