Image Enhancement Based on Nonsubsampled Contourlet Transform

被引：2
|
作者：
Ma, Yuxin [1 ]
Xie, Jiancang [1 ]
Luo, Jungang [1 ]
机构：
[1] Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 1, PROCEEDINGS | 2009年
关键词：
D O I：
10.1109/IAS.2009.44
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Based on nonsubsampled contourlet transform and image statistical property, an image enhancement method is presented A noise variance estimate algorithm is given using nonsubsampled Laplace Pyramid decompose, and a wake edge enhancement algorithm using directional local neighborhood is proposed This paper estimates the variance in each decomposed direction, and the directional local neighborhood statics is used to distinguish the strong edge, wake edge and noise The wake edge is enhanced and the speckled noise is reduced Experimental results show that the method represents better performance in wake edges information enhancement and speckle reduction
引用
收藏
页码：31 / 34
页数：4
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