Image Denoising via Combining Contourlet and Stationary-Wavelet Transform

被引：0
|
作者：
Song Xiao-feng [1 ]
Yamg Dong-sheng [1 ]
Qi Xin-she [1 ]
机构：
[1] Xian Commun Inst, Basic Dept, Xian, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS | 2012年 / 8349卷
关键词：
contourlet; stationary wavelet; SAR denoising;
D O I：
10.1117/12.920267
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method of image denoising was presented via combining contourlet transform and the stationary wavelet transform which has an iterative filer bank with stationary wavelet transform and the directional filter banks (DFB). The experimental results show that in terms of image denoising, the proposed method can suppress speckle in SAR images effectively while preserving the edge features and textural information of the scene.
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页数：5
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