Noisy image processing using the independent component analysis algorithm AMUSE

被引：0
|
作者：
Nassabay, Salua [1 ]
Keck, Ingo R. [1 ]
Puntonet, Carlos G. [1 ]
Gorriz, Juan M. [1 ]
de Inestroaa, J. Perez [1 ]
Clemente, Ruben M. [1 ]
机构：
[1] Univ Granada, ETSII, Dept Architecture & Technol Comp, E-18071 Granada, Spain
来源：
Artificial Neural Networks and Intelligent Information Processing, Proceedings | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article we investigate the performance of the ICA algorithm AMUSE when applied to images contaminated by noise. The classes of noise we are using have gaussian, multiplicative and impulsive distributions. We find that AMUSE copes surprisingly well with the different types of noise, including multiplicative noise.
引用
收藏
页码：83 / 90
页数：8
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