A Volterra type model for image processing

被引：46

作者：

Cottet, GH ^{[1
]}

El Ayyadi, M ^{[1
]}

机构：

[1] Univ Grenoble 1, IMAG, LMC, F-38041 Grenoble 9, France

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1998年 / 7卷 / 03期

关键词：

adaptive neural network; image restoration; nonlinear diffusion; selective filter; time-delay regularization;

D O I：

10.1109/83.661179

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：292 / 303

页数：12

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