CONDITIONAL TRIMMED MEAN FILTERS AND THEIR APPLICATIONS FOR NOISE REMOVAL

被引:11
作者
WANG, SS
LIN, CF
机构
[1] Department of Electrical Engineering, Tatung Institute of Technology, Taipei, 40 Chungshan North Road
关键词
NONLINEAR FILTERS; IMAGE FILTERING; IMAGE PROCESSING;
D O I
10.1016/0165-1684(94)00147-R
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a conditional trimmed mean (CTM) filter and its modification, called enhanced conditional trimmed mean (ECTM) filter are proposed. Their implications do not require to sort the windowed data and the influence of an incorrect reference point on the output of the filter is reduced by using a conditional test. The extension of CTM filters to the two dimensional domain is also developed. Simulations show that the proposed filters perform better in noise removal as well as in fine structure preservation.
引用
收藏
页码:103 / 109
页数:7
相关论文
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