Filter of Image with Polarizer Salt and Pepper Noise Based on DMN

This paper studies the filter of image with polarizer salt and pepper noise based on DMN. And it is pointed that there are abilities of fine distinction of pixel in image due to the features of decaying of threshold value, and linking of node of networks. And therefore the approaches are posed for image filtering under the control of DMN. The algorithm only calculates the mean of pixels that are related noise, and place the noise pixel. And what is called sub-mean filter algorithm. It is carried out that noise image is filtered by stubborn self-adapting method. The experimental results show that the method has better behavior of filter.