Two image restoration algorithms using variational PDE based neural network

Authors:
Ya-Dong Wu;Hong-Ying Zhang;Yu Sun;Shi-Xin Sun
Affiliations:
Southwest University of Science & Technology;Southwest University of Science & Technology;University of Central Arkansas Conway;University of Electronic Science & Technology of China
Venue:
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
Year:
2007

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Abstract

In this paper, based on the modified Hopfield neural network, we present two variational PDEs (Partial Differential Equations) as the regularization terms to the image restoration model. One is based on a harmonic model and the other is based on a total variation model. Then, we propose two novel variational image restoration algorithms based on the Modified Hopfield Neural Network (MHNN). Both algorithms are aiming to restore the degraded images and preserve the edges with improved visual quality. The experimental results demonstrate that our proposed algorithms perform better than other known neural network based restoration algorithms.