Image Restoration Algorithm Based on Chaotic Neural Network

This paper proposes a novel method to restore image by using chaotic neural network.Owing to the disadvantage of more easily trapped in local optimization,transiently chaos and time-variant gain are introduced into Hopfield algorithm.This paper makes full use of the characteristic of global search of chaos theory.First,it makes an approximately search,then it uses Hopfield algorithm for an exactly search.Comparing the performances of the restored images,experimental results demonstrate that this method of image restoration algorithm based on chaotic neural network can get higher PSNR of the restored images,and better views.