Multivariate median filters and their extensions
Publication Date
6-1991
Conference/Sponsorship/Institution
IEEE International Symposium on Circuits and Systems
Description
Median filters are based on running median estimates of location, and have been useful for edge-preserving and detail-retaining smoothing of noisy signals. The outlierresistance of the univariate median estimate of location and its extensions is also of interest in multivariate filtering applications. In this paper we consider one 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.
Type
Conference Paper
Department
Electrical Engineering
Link to published version
Recommended Citation
Aburdene, Maurice F. and Kassam, S. A., "Multivariate median filters and their extensions" (1991). Faculty Conference Papers and Presentations. 33.
https://digitalcommons.bucknell.edu/fac_conf/33