Title :
Fuzzy filters for noisy image filtering
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont., Canada
Abstract :
In this paper, seven fuzzy filters for noise reduction in images are introduced. Each of these fuzzy filters applies a weighted membership function to an image within a window to determine the center pixel, and is easy and fast to implement. Simulation results on the filtering performance of these seven fuzzy filters, the standard median filter (MED), and the standard moving average filter (MAV) on images contaminated with low, medium and high impulse and random noise are presented. Results indicate that these seven fuzzy filters achieve varying success in noise reduction in images as compared to the MED and MAV filters.
Keywords :
digital filters; filtering theory; fuzzy set theory; image denoising; impulse noise; interference suppression; nonlinear filters; random noise; center pixel; filtering performance; fuzzy filters; impulse noise; noise reduction; noisy image filtering; random noise; simulation results; standard median filter; standard moving average filter; weighted membership function; Displays; Filtering; Gaussian noise; Image generation; Image processing; Image storage; Noise generators; Noise reduction; Nonlinear filters; Pixel;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205798
