Traditional methods for image restoration usually focus on eliminating noises to accomplish image restoration

But for images polluted by strong noises

it is hard to achieve it in this way. Stochastic resonance can use noise to enhance signals. Since the features in a bistable system are induced to the state of aperiodic stochastic resonance resorted to mutual entropy

hence we can restore image with noises use a nonlinear bistable system as a signal processing device. Results in this paper show that images restored based on the method proposed by this paper is more similar to original images than the traditional methods. In addition

the method is robust to variations of the intensity of noises.