An implementation of tunable fuzzy filters for mixed noise reduction

被引：0
|
作者：
Muneyasu, M [1 ]
Asou, K
Wada, Y
Taguchi, A
Hinamoto, T
机构：
[1] Hiroshima Univ, Fac Engn, Higashihiroshima 7398527, Japan
[2] Musashi Inst Technol, Fac Engn, Tokyo 1588557, Japan
来源：
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2001年 / E84A卷 / 02期
关键词：
mixed noise reduction; fuzzy control; parameter optimization;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new implementation of fuzzy filters for edge-preserving smoothing of an image corrupted by impulsive and white Gaussian noise. This filter structure is expressed as an adaptive weighted mean filter that uses fuzzy control. The parameters of this filter can be adjusted by learning. Finally, simulation results demonstrate the effectiveness of the proposed technique.
引用
收藏
页码：482 / 484
页数：3
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