DocumentCode
1672859
Title
An overview of classical and fuzzy-classical filters for noise reduction
Author
Nachtegael, M. ; Van der Weken, D. ; Van De Ville, D. ; Kerre, E. ; Philips, W. ; Lemahieu, I.
Author_Institution
Dept. of Appl. Math. & Comput. Sci., Ghent Univ., Belgium
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
3
Lastpage
6
Abstract
In this paper we give an overview of classical and fuzzy-classical filters for image noise reduction. Together with our overview (2001) of fuzzy filters, this paper can be seen as a preparation to our comparative study of classical and fuzzy filters for image noise reduction
Keywords
adaptive filters; filtering theory; fuzzy set theory; image processing; nonlinear filters; adaptive Wiener filter; classical filters; fuzzification; fuzzy mean filter; fuzzy set theory; image noise reduction; membership function; nonlinear filters; Adaptive filters; Computer science; Information filtering; Information filters; Mathematics; Neural networks; Noise reduction; Nonlinear filters; Pixel; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1007230
Filename
1007230
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