Study on algorithm of image restoration based on Stochastic Resonance and Weiner filtering

Stochastic Resonance (SR) enhances the weak signal by using noise, providing a new way to process the weak signal in the strong noise background. This paper tries to give out a new way of image processing based on bistable Stochastic Resonance and Weiner Filtering. The image is firstly processed by bistable Stochastic Resonance. Then the output image is optimized by Weiner Filtering. The results are evaluated and compared with other algorithms by similarity coefficient, and show that the algorithm given by this paper can make the image processing more effective in a strong noise background.