DocumentCode
1108675
Title
Nonlinear mean filters in image processing
Author
Pitas, Ioannis ; Venetsanopoulos, Anastasios N.
Author_Institution
University of Thessaloniki, Thessaloniki, Greece
Volume
34
Issue
3
fYear
1986
fDate
6/1/1986 12:00:00 AM
Firstpage
573
Lastpage
584
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;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1986.1164857
Filename
1164857
Link To Document