Stochastic resonance image processing based on a new piecewise hybrid model

In this paper, we put forward a new piecewise hybrid system, and explore the methods for processing image data with the principle of stochastic resonance so as to improve the quality of images with noise. We focus on studying the influence caused by model parameters on the output histogram of the system, and through the method of numerical simulation, we put the periodic signal, image signal without noise and image signal with noise into the new stochastic resonance system respectively to find the changes and influence of the new model to the input signals. The result shows that the proposed model is effective for improving image quality with reasonable parameters.