Fast Image Restoration Algorithm Using Neural Network Based on Harmonic Model
基于调和模型的快速神经网络图像复原算法

Traditional image restoration algorithm using neural network has some shortcomings was fond in experiments,such as blurring edges,low speed of convergence.A fast image restoration algorithm using neural network based on harmonic model was given.In this algorithm,this paper used harmonic model as regular term in image restoration model,and introduced the steepest descent method in update rule to accelerate the convergence of network.Experiment results show that the proposed algorithm could restore the degraded image while preserving the edge in a fast speed.