【摘要】 针对模拟大脑节律现象的Wilson-Cowan双节点耦合振子模型,选取满足该模型产生极限环振荡条件的参数,采用连续灰度阶图像块作为输入,兴奋性亚群节点响应作为图像增强的输出,做出刺激响应曲线,发现该曲线与图像处理领域中用于图像增强的Gamma校正曲线相似,说明Wilson-Cowan双节点耦合振子模型可以作为一种新的图像增强方法,同时也为基于Gamma校正曲线的图像增强提供了一种神经机制。将新方法与Retinex算法做对比,表现出了更好的图像增强性能。更多还原

【Abstract】 In this paper,a model mimicking cortex rhythms is adopted to achieve image enhancement.This model is based on the coupled Wilson-Cowan oscillators with double nodes.The inputs are images to be enhanced and the outputs are node responses of the excited subpopulation.As image experiments show,the method of the paper is able to be used in image enhancement.To explain the mechanisms of the method,parameters are selected to obtain limit cycles and produce oscillation,by means of nonlinear dynamic analysis.Image patches with continuous gray values are employed as stimulus and the response curves are found to be similar with the classical Gamma correction curves that are used in image enhancement.It is implicit that neural mechanisms are implied in the Gamma correction.After some comparisons with the Retinex algorithm,the method proposed in the paper shows better results.更多还原