Parallel median filtering using cellular neural networks

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