SAR Image Denoising Based on Combined Curvelet and Wavelet

Li Wen-Bo

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SAR Image Denoising Based on Combined Curvelet and Wavelet

更新时间：2023-11-14

- SAR Image Denoising Based on Combined Curvelet and Wavelet
- Advanced Engineering Sciences Vol. 44, Issue Z1, Pages: 145-149(2012)
- 作者机构：
  
  四川大学电子信息学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012，
  
  Published Online：11 February 2012，
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李文博.基于Curvelet和Wavelet结合的SAR图像降噪方法[J].工程科学与技术,2012,44(Z1):145-149.

Li Wen-Bo. SAR Image Denoising Based on Combined Curvelet and Wavelet. [J]. Advanced Engineering Sciences 44(Z1):145-149(2012)
李文博.基于Curvelet和Wavelet结合的SAR图像降噪方法[J].工程科学与技术,2012,44(Z1):145-149. DOI：

Li Wen-Bo. SAR Image Denoising Based on Combined Curvelet and Wavelet. [J]. Advanced Engineering Sciences 44(Z1):145-149(2012) DOI：

摘要

中文摘要: 本文提出一种新型的曲波和小波的结合降噪方法，可有效降低合成孔径雷达(SAR)图像的斑点噪声，同时更好的保持图像边缘信息。本文采用16个方向检测模版扫描图像，根据检测规则区分边缘区域和均匀区域，同时标记图像边缘区域。分别使用改进软阈值的曲波降噪方法和小波降噪方法处理SAR图像的边缘区域和均匀区域。最后组合两种降噪结果，生成完整降噪图像。本文提出的结合方法和目前已经提出两种结合算法（联合滤波算法、自适应结合算法）相比，在灰度均值比、等效视数等指标上都有一定提升。实验结果表明，新方法既能更有效去除SAR图像斑点噪声，又能更好的保持图像边缘信息。

Abstract

Abstract: This paper presents a novel combination of Curvelet and Wavelet algorithm for SAR image speckle noise reduction. In this paper

Smooth areas and edges of SAR images are distinguished and labeled by 16 direction detection template. Respectively

using improved soft threshold curvelet and wavelet transform method to process Smooth areas and edges. Finally，a complete noise reduction image generated by the combination of two noise reduction result. Comparison with existing combination methods(CFA、ACM)

new combination method have some improvement in various indicators

such as PM

ENL

etc. Experimental results show that the approach compared to existing methods that can not only effectively remove speckle noise

but also can better maintain the image edge information.

关键词

曲波变换小波变换降噪斑点噪声

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