基于小波混沌神经网络的图像复原算法

提出了一种将小波理论和混沌理论应用于改进的连续Hopfield神经网络的图像复原算法.文章在Hopfield神经网络应用于图像复原基础上,引入小波理论和混沌理论对Hopfield网络进行训练和调整,给出具体的小波混沌神经网络算法方案设计,并将改进后的算法应用于图像复原仿真.实验结果证明该小波混沌神经网络的图像复原方法得到的复原图像信噪比更高,可视效果更佳.

Image Restoration Using Wavelet Chaotic Neural Network

This paper proposes a novel algorithms to restore image based on the modified Hopfield neural network with a continuous state change,wavelet and chaos theory.This paper combines wavelet and chaos theory with Hopfield neural network,which bases on the Hopfield neural network’s application to image restoration.It details Wavelet chaotic neural network algorithm’s theory and steps.Experimental results demonstrate that this method can get higher PSNR of the restored images,and better views.