Coupled Wilson-Cowan Oscillator Model with Double-Node for Image Enhancement

In this work, a model mimicking cerebral rhythms based on the coupled Wilson-Cowan oscillator with double nodes is proposed to achieve image enhancement. The inputs of the model are images to be enhanced and the outputs are node responses of excited subpopulation. To explain the mechanisms of the method, parameters are selected to meet conditions of limit cycles. Thus, in those conditions, the model produce oscillation by means of nonlinear dynamic analysis. In our experiments, image patches with continuous gray values are employed as stimulus and the response curves are similar to classical Gamma correction curves. Is it implicit that the Gamma correction can be explained by some cerebral rhythms? After some comparisons with other methods, the model proposed in the work shows better results.