DocumentCode
1340912
Title
A Volterra type model for image processing
Author
Cottet, Georges Henri ; Ayyadi, M.E.
Author_Institution
LMC-IMAG, Univ. de Grenoble, France
Volume
7
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
292
Lastpage
303
Abstract
We present a class of time-delay anisotropic diffusion models for image restoration. These models lead to asymptotic states that are selected on the basis of a contrast parameter and bear some analogy with neural networks with Hebbian dynamical learning rules. Numerical examples show that these models are efficient in removing even high levels of noise, while allowing an accurate tracking of the edges
Keywords
Hebbian learning; Volterra equations; delays; edge detection; image restoration; image segmentation; neural nets; noise; parameter estimation; partial differential equations; Hebbian dynamical learning rules; Volterra type model; asymptotic states; contrast parameter; edge tracking; image processing; image restoration; image segmentation; neural networks; noise removal; nonlinear diffusion model; partial differential equations; time-delay anisotropic diffusion models; Acoustic noise; Adaptive systems; Anisotropic magnetoresistance; Equations; Filters; Image processing; Image restoration; Mathematical model; Neural networks; Noise level;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.661179
Filename
661179
Link To Document