Fast Image Restoration Algorithms Based on PDE Models Using Modified Hopfield Neural Network

Yadong Wu,Yu Sun,Ishfaq Ahmad,Fan Yang,Zhiqin Liu

doi:10.1109/aici.2010.54

Fast Image Restoration Algorithms Based on PDE Models Using Modified Hopfield Neural Network

Yadong Wu, Yu Sun + Show 3 more

https://doi.org/10.1109/aici.2010.54

Copy DOI

Publication Date: Oct 1, 2010

Citations: 3

Affiliation: University of Central Arkansas, Conway School of Landscape Design, The University of Texas at Arlington, University of Burgundy, Southwest University of Science and Technology

#Modified Hop Field Neural Network #Fast Image Restoration Algorithms + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

Two image restoration algorithms based on modified Hop field neural network and variational partial differential equations (PDE) were proposed in our previous work [1, 2]. But the convergence rate of the proposed algorithms was slow. In this paper, we develop a fast update rule based on modified Hop field neural network (MHNN) of continuous state change and two fast image restoration algorithms. Experimental results show that, when compared with the previous algorithms, our proposed algorithms have better performance both in convergence rate and in image restoration quality.

Full Text