Image restoration using hopfield neural network based on total variational model

Authors:
Hongying Zhang;Yadong Wu;Qicong Peng
Affiliations:
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

Citing 3
Cited 2

Nonlinear total variation based noise removal algorithms

Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Iterative methods for total variation denoising

SIAM Journal on Scientific Computing - Special issue on iterative methods in numerical linear algebra; selected papers from the Colorado conference
Fast, robust total variation-based reconstruction of noisy, blurred images

IEEE Transactions on Image Processing

Two image restoration algorithms using variational PDE based neural network

IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
An MLP neural net with L1 and L2 regularizers for real conditions of deblurring

EURASIP Journal on Advances in Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

The relations between Total Variational (TV) image restoration model and Hopfield neural network are deduced by using energy function. Then a novel algorithm realizing TV image restoration using Hopfield neural network is given. Because of the advantages of neural network techniques such as the abilities of parallel computing and error-tolerance, it can improve the quality of restored image efficiently. Experimental result shows that the performance of the proposed numerical method is perfect.