A Novel Image Restoration Algorithm Using Neural Network Based on Variational PDE Model

Author

Yadong, Wu ; Hongying, Zhang

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

Volume

1

fYear

2006

fDate

25-28 June 2006

Firstpage

433

Lastpage

436

Abstract

The variational partial differential equation (PDE) model is introduced into image restoration framework using neural network. A novel image restoration algorithm based on harmonic diffusion equation is given. And, the convergence of this restored algorithm is also analyzed. The proposed algorithm could deblur the degraded image while preserve edges. Experimental results show that the presented algorithm is superior to the traditional restoration algorithm in preserving image edges, and has a better restoration effect

Keywords

image restoration; neural nets; partial differential equations; harmonic diffusion equation; image deblurring; image edges preservation; image restoration algorithm; neural network; partial differential equation; variational PDE model; Algorithm design and analysis; Atmospheric modeling; Computer science; Convergence; Degradation; Hopfield neural networks; Image restoration; Laplace equations; Neural networks; Nonlinear equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284670

Filename

4063914