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计算机工程 ›› 2010, Vol. 36 ›› Issue (4): 200-201. doi: 10.3969/j.issn.1000-3428.2010.04.070

• 图形图像处理 • 上一篇    下一篇

基于多阈值的非下采样轮廓波图像去噪方法

杨晓慧1,2,焦李成1,牛宏娟2,王中晔2   

  1. (1. 西安电子科技大学智能信息处理研究所智能感知与图像理解教育部重点实验室,西安 710071;2. 河南大学数学与信息科学学院应用数学研究所,开封 475004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-02-20 发布日期:2010-02-20

Image Denoising Method for Nonsubsampled Contourlet Based on Multi-threshold

YANG Xiao-hui1,2, JIAO Li-cheng1, NIU Hong-juan2, WANG Zhong-ye2   

  1. (1. Intelligent Perception and Image Undertanding Key Lab, Ministry of Education, Institute of Intelligent Information Processing, Xidian University, Xi’an 710071;2. Institute of Applied Mathematics, School of Mathematics and Information Sciences, Henan University, Kaifeng 475004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-02-20 Published:2010-02-20

摘要: 非下采样轮廓波变换(NSCT)是一种新的多尺度几何分析工具,具有平移不变性、多方向性和各向异性。与小波变换相比,NSCT能更好地表示图像中的边缘等信息。对合成孔径雷达图像进行NSCT分解,考虑其系数统计特性,基于BayesShrink对每个分解层的各个子带做多层阈值估计和软阈值收缩处理。实验结果表明,采用该方法得到的图像在视觉效果和客观衡量指标上均符合要求。

关键词: 合成孔径雷达, 图像去噪, 非下采样轮廓波变换, 多阈值

Abstract: As a new multi-scale geometric analysis tool, Nonsubsampled Contourlet Transform(NSCT) has the characteristics of shift-invariance, multi-directionality and anisotropy. NSCT has the better representation of informations such as edges than wavelet transform. This paper decomposes Synthetic Aperture Radar(SAR) image by NSCT and considers its coefficients statistic characteristic. Based on BayesShrink, the multi-threshold estimation and the soft-threshold shrinkage in each subband of every decomposition layer are accomplished. Experimental results show that by using this method, the image meets the need of visual effect and objective measures.

Key words: Synthetic Aperture Radar(SAR), image denoising, Nonsubsampled Contourlet Transform(NSCT), multi-threshold

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