Study on Algorithm of Image Restoration Based on Stochastic Resonance and Wavelet Transforming

Stochastic Resonance(SR) can restore the weak signal in a strong noise background more effectively by using noise. According to this, a new way to process the noised signal in a bad noised environment has been provided. A new way of image processing based on bistable Stochastic Resonance and Wavelet transform has been given. Firstly, the noised image is processed by bistable Stochastic Resonance. Then the output of the SR system is optimized by Wavelet transform. In this paper, the results of the simulation of the new algorithm are evaluated and compared with other algorithms by signal-noise ratio improvement factor. What the comparison shows is that the algorithm given by this paper is more effective in processing the weak signal in a bad-noised environment.