Color filter based on fuzzy neural network

A new filter based on Fuzzy Neural Network (FNN) judges the relation of neighbour pixel and center pixel according to a fuzzy weighted averaging operation performed on pixel vectors in the filter window, while the weights are adjusted automatically by self-study and self-organizing functions of the neural network, so the noise component is filtered out. The new FNN filter was compared with the vector median filter (VMF) using image Flowers and image Lena. Experimental results indicate that FNN has better filtering-out effect on impulse noise, Gaussian noise and mixed noise than VMF, with preserving edges and fine image details.