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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007230
