New effective filtering algorithm for the removal of impulse noise from images

被引：0
|
作者：
Qu, Yanfeng [1 ]
Xu, Jian [1 ]
Li, Weijun [1 ]
Wang, Shoujue [1 ]
机构：
[1] Lab. of Artifical Neural Networks, Inst. of Semi-conduct., Chinese Acad. of Sci., Beijing 100083, China
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2003年 / 15卷 / 04期
关键词：
Iterative methods - Signal filtering and prediction - Spurious signal noise;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An iterative median filter based on local extreme value noise detection for the removal of impulse noise from images is presented. It combines the merits of minimax algorithm and PSM algorithm. Simulation results demonstrate that this superior to existing median-based filters, being especially effective for the cases where the images are extremely highly corrupted.
引用
收藏
页码：397 / 401
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