留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

SAR图像的非下采样Contourlet噪声抑制算法

郭旭静 王祖林

郭旭静, 王祖林. SAR图像的非下采样Contourlet噪声抑制算法[J]. 北京航空航天大学学报, 2007, 33(08): 894-897.
引用本文: 郭旭静, 王祖林. SAR图像的非下采样Contourlet噪声抑制算法[J]. 北京航空航天大学学报, 2007, 33(08): 894-897.
Guo Xujing, Wang Zulin. Nonsubsampled Contourlet speckle reduction algorithm for SAR images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(08): 894-897. (in Chinese)
Citation: Guo Xujing, Wang Zulin. Nonsubsampled Contourlet speckle reduction algorithm for SAR images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(08): 894-897. (in Chinese)

SAR图像的非下采样Contourlet噪声抑制算法

详细信息
    作者简介:

    郭旭静(1975-),女,山西长治人,博士后,guoxj@buaa.edu.cn.

  • 中图分类号: TP 391

Nonsubsampled Contourlet speckle reduction algorithm for SAR images

  • 摘要: 非下采样Contourlet变换克服了小波变换非一维奇异性最优基的缺点,而且其平移不变性使其边缘保持能力优于Contourlet.提出了一种非下采样Contourlet的合成孔径雷达(SAR,Synthetic Aperture Radar)相干斑去噪模型.首先对SAR图像进行同态变换,将乘性噪声变为加性噪声;再进行非下采样Contourlet变换,包括非下采样金字塔分级和非下采样方向滤波2部分;最后利用阈值的方法将信噪实施分离.实验中针对乘性噪声污染的航拍图像和原始SAR图像,进行了传统的Lee滤波器和小波滤波器去噪,与上述模型去噪进行比较,在去噪性能和边缘保持的主观视觉上都得到了优异的结果.

     

  • [1] Starck J L, Candès E J, Donoho D L.The curvelet transform for image denoising[J].IEEE Trans on Image Processing,2002,11(6):670-684 [2] Do Minh N,Vetterli Martin. The contourlet transform:an efficient directional multiresolution image representation[J].IEEE Trans on Image Processing, 2005,14(12):2091-2106 [3] Cohen A, Matei B. Compact representation of images by edge adapted multiscale transforms IEEE Int Conf on Image Process. Piscataway,NJ:IEEE,2001,1:8-11 [4] Donoho D L.Wedgelets:nearly-minimax estimation of edges[J]. Ann Statist, 1999, 27(3):859-897 [5] Wakin M, Romberg J, Choi H, et al. Rate-distortion optimized image compression using wedgelets IEEE Int Conf Image Process. Piscataway,NJ:IEEE,2002,3:237-240 [6] Dragotti P L, Vetterli M. Footprints and edgeprints for image denoising and compression IEEE Int Conf Image Process. Piscataway,NJ:IEEE,2001,2:237-240 [7] Zhou Jianping, Cunha A L, Do M N. Nonsubsampled contourlet transform:construction and application in enhancement Proceedings-International Conference on Image Processing, ICIP. Piscataway,NJ:IEEE,2005,1:469-472 [8] Da Cunha A L,Zhou J, Do M N. Nonsubsampled contourlet transform:filter design and applications in denoising Proceedings-International Conference on Image Processing, ICIP. Piscataway,NJ:IEEE,2005,1:749-752 [9] Donoho D L, Johnstone I M.Ideal spatial adaptation via wavelet shrinkage[J]. Biometrika,1994,81(12):425-455 [10] Phoong S M, Kim C W, Vaidyanathan P P, et al.A new class of two-channel biorthogonal filter banks and wavelet bases[J]. IEEE Trans on Signal Proc,1995,43(3):649-661 [11] Cooklev T, Yoshida T, Nishihara A. Maximally flat half-band diamond-shaped FIR filters using the Bernstein polynomial[J]. IEEE Trans CAS-II,1993,40(11):749-751
  • 加载中
计量
  • 文章访问数:  3383
  • HTML全文浏览量:  159
  • PDF下载量:  1315
  • 被引次数: 0
出版历程
  • 收稿日期:  2006-10-20
  • 网络出版日期:  2007-08-31

目录

    /

    返回文章
    返回
    常见问答