Kernel density estimation based multichannel impulsive noise reduction filter

被引：0
|
作者：
Smolka, B [1 ]
Plataniotis, KN [1 ]
Lukas, R [1 ]
Venetsanopoulos, AN [1 ]
机构：
[1] Silesian Tech Univ, Lab Multimedial Commun, Katowice, Poland
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS | 2003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：
This paper presents a new filtering scheme for the removal of impulsive noise in multichannel images. It is based on the estimation of the probability density function for pixels in a filtering window, by means of the kernel density estimation method. The filtering algorithm itself is based on the comparison of pixels with their neighborhood in a sliding window. The results obtained with the new filter show its excellent ability to reduce impulsive noise while simultaneously preserving fine image details.
引用
收藏
页码：137 / 140
页数：4
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