Color image restoration based on dynamic recurrent RBF neural network
基于动态递归径向基函数神经网络的彩色图像恢复

Because the dynamic recurrent Neural Network that performs nearest neighbor classification shows good performance,it was adopted for color image restoration in this paper.It combines a MLP and a Radial Basis Function(RBF) Neural Network, and allows for explicit representation of prototype patterns as network parameters,as well as adding or deleting prototype freely,so the structure of this system is characterized by self-adaptation.The dynamic classification implemented by the network eliminates all comparisons,which are the vital steps of the conventional Nearest Neighbor Classification(NNC),and to some degree it is also simple for computation.The results show this model restores the typically degenerated image with different noise ratios excellently.