Study for image optimal filter based on neural network

With neural network theory quickly development, image intelligent processing is increasingly applied. This paper focuses on studying image information nonlinear property and eliminating noise way, combines the features of self-adaptive and nonlinearity with neural network then puts forward a new integrated method which combines neural networks with nonlinear filter. The research and experiment shows its distinct effect in optimizing image, eliminating noise and enhancing the edge information of image. The image average SNR is double growth around. It is extremely active significance to image information optimization.