An improved algorithm for image restoration based on modified Hopfield neural network
Yadong Wu, Yonghui Chen, Hong-Ying Zhang · 2005
The neural network method is widely used in image restoration, since its advantages such as the abilities of parallel computing, nonlinear mapping and self-adaptiveness. In this paper, an improved sequential algorithm is proposed, which uses the modified Hopfield neural network based on continuous state change, and maximal energy descent in the update rule. Experiment results show that the improved sequential algorithm could converge to a stable point with high speed, and give more precise restoration results.