Title :
Parallel median filtering using cellular neural networks
Author :
Sadeghi-Emamchaie, Saeid ; Jullien, G.A. ; Miller, W.C.
Author_Institution :
VLSI Res. Group, Windsor Univ., Ont., Canada
Abstract :
In this paper we describe methods of designing cellular neural networks (CNNs) for parallel median filtering of noisy images. The paper contains two contributions. The first is a cellular neural network structure, with linear templates, for median filtering of binary images. The second is a new technique for designing cellular neural networks for the special, but important, case of gray-scale separable median filters with a window size of 3×3
Keywords :
cellular neural nets; filtering theory; image processing; median filters; binary image; cellular neural network; gray-scale separable median filter; linear template; noisy image; parallel median filtering; Cellular neural networks; Design methodology; Equations; Filtering; Filters; Gray-scale; Integrated circuit noise; Pixel; Very large scale integration; Voltage;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541633
