Title :
A comparative study of classical and fuzzy 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 present the results of a comparative study of classical and fuzzy filters for image noise reduction. The discussed fuzzy filters are classified, and their performance is compared with classical filters and evaluated by numerical and visual experiments
Keywords :
computational complexity; filtering theory; fuzzy set theory; image processing; classical filters; computational complexity; fuzzy filters; image noise reduction; iterative filter; Adaptive filters; Computer science; Fuzzy systems; Gaussian noise; Information filtering; Information filters; Integrated circuit noise; Iterative algorithms; Mathematics; Noise reduction;
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.2001.1007232
