传统的图像滤波复原技术一般通过滤除噪声来达到恢复图像的目的，但是对于受强噪声干扰的图像，噪声的消除很困难，而随机共振却具有利用噪声增强信号的特点，因此，提出了以非线性双稳态系统作为信号处理器，根据互信息熵调节参数使系统达到非周期随机共振状态，从而对受噪声污染的图像进行复原处理。实验结果表明，相比传统滤波复原方法，该方法的复原结果更加接近于原图，另外对于噪声强度的变化具有较好的鲁棒性。

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.