Title :
Nonlinear mean filters in image processing
Author :
Pitas, Ioannis ; Venetsanopoulos, Anastasios N.
Author_Institution :
University of Thessaloniki, Thessaloniki, Greece
fDate :
6/1/1986 12:00:00 AM
Abstract :
The use of nonlinear means in image processing is introduced. The properties of these means in the presence of different types of noise are investigated. It is shown that nonlinear filters based on these means behave well for both additive and impulse noise. Their performance in the presence of signal dependent noise is satisfactory. They preserve the edges better than linear filters, and they reject the noise better than median filters.
Keywords :
Additive noise; Councils; Filtering; Image processing; Nonlinear filters; Performance analysis; Signal processing; Visual perception; Visual system; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1986.1164857
