The modified bidimensional empirical mode decomposition for image denoising

被引：0
|
作者：
Shen, Minfen [1 ]
Tang, Hongrong [1 ]
Li, Bin [1 ]
机构：
[1] Shantou Univ, Coll Engn, Guangzhou 515063, Guangdong, Peoples R China
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
bidimensilnal empirical mode decomposition; periodic compactly supported radial basis function; image denoising;
D O I：
暂无
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 method is proposed which uses the periodic compactly supported Radial Basis Function (PCSRBF) to improve the Bidimensional Empirical Mode Decomposition (BEMD). PCSRBF not only has the fine interpolation and suppresses the boundary effect, but also has low computation cost. Experiments indicate that the method in this paper can gain better decompositions for BEMD.
引用
收藏
页码：3257 / +
页数：2
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