期刊文献+

基于小波变换和Wiener滤波的SAR图像相干斑噪声去除 被引量:1

SAR Imagespeckle Denoising Based on Wavelet Transform and Wiener Filter
在线阅读 下载PDF
导出
摘要 先介绍了小波变换和Wiener滤波,为提高去噪性能,提出一种基于小波变换和Wiener滤波的SAR图像speckle噪声去除算法,利用Wiener滤波对小波分解系数去噪.结果表明,与传统方法相比,所提出的算法能较好地提高SAR图像的去噪效果. Noise deteriorates SAR image quality ,makes image unclear and sinks some important image features . Denoising has become an essential step in SAR image analysis and improving image quality . At first , wavelet transform and wiener filter are introduced .Then an improved algorithm based on wavelet transform and wiener filter is proposed and is used to denoise .At last ,the experimental results have illustrated that the proposed approach can accomplish a better result in SAR image denoising compared with the conventional methods .
出处 《微电子学与计算机》 CSCD 北大核心 2013年第11期84-87,共4页 Microelectronics & Computer
基金 湖南省自然科学基金项目(12JJ4058)
关键词 图像噪声 SAR图像 小波变换 WIENER滤波 image noise SAR image wavelet transform wiener filter
  • 相关文献

参考文献8

  • 1尹奎英,胡利平,刘宏伟,金林.一种复合的SAR图像去噪算法[J].西安电子科技大学学报,2010,37(2):224-230. 被引量:14
  • 2朱磊,水鹏朗,武爱景.一种SAR图像相干斑噪声抑制新算法[J].西安电子科技大学学报,2012,39(2):80-86. 被引量:12
  • 3王桂楠,纪玉波.基于PDE和小波分解的SAR图像去噪研究[J].辽宁石油化工大学学报,2009,29(1):65-68. 被引量:6
  • 4Yannis Kopsinis, Stephen McLaughlin. Development of EMD-based denoising methods inspired by wavelet thresholding[J]. IEEE Trans Signal Processing, 2009, 57(4):1351-1362.
  • 5Hu Shao:dang, ZNwu Liao. Signal denoising using wave- let packet hidden Markov rrxtel[C]// 2004 International Conference on Communications, Circuits and Systems. Krak6w, Polarel, 2004: 751-755.
  • 6Pajares G. A wavelet based image fusion tutorial [J]. Pattern Recognition, 2004,37(9). 1855-1872.
  • 7Ercelebi E, Koc S. Lifting-based wavelet domain adap- tive Wiener filter for image enhancement [J]. IEEE proceedings. Vision, image and signal processing, 2006,153(1) :31-36.
  • 8Mark Miller, Nick Kingsbury. Image denoising using derotated complex wavelet coefficients [J]. IEEE Transactions on Image Processing, 2008,17(9) : 1500- 1511.

二级参考文献28

  • 1吴亚东,孙世新.基于二维小波收缩与非线性扩散的混合图像去噪算法[J].电子学报,2006,34(1):163-166. 被引量:34
  • 2李军侠,水鹏朗,武楠.小波域局部贝叶斯阈值的SAR图像斑点抑制算法[J].系统工程与电子技术,2006,28(6):819-822. 被引量:9
  • 3吴艳,沈博,廖桂生.基于多方向小波模糊融合的SAR图像边缘提取[J].西安电子科技大学学报,2006,33(5):691-695. 被引量:5
  • 4Ji Jian, Tian Zheng. Robust ICA neural network and application on aynthetic aperture radar image analysis[M]. Berlin: springer, 2006.
  • 5Arsnault H H, April G. Properties of speckle integrated with a finite aperture and lofarithmically transformed[J]. Journal of optical society of America,1976,66(11):1160-1163.
  • 6Bruce A G, Donoho D L, Gao Hong--ye, et al. Denoising and robust nonlinear wavelet analysis[EB/OL].[2008-2-10]. http://citeseerx. ist. psu edu/viewdoe/summary9 doi= 10.1.1.48. 1115.
  • 7Perona P, Malik J. Scale-space and edge detection using anisotripic diffusion[J]. IEEE trans, on pattern analysis and machine intelligence, 1990,12(7) : 692-939.
  • 8Rudin I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms [J]. Physica D, 1992,60 (1-4):259-268.
  • 9Osher S, Sole A, Vese I. Image decomposition and restoration using total variation minimization and the norm[J]. SIAM j. of multiscale modeling and simulation, 2003,1(3) : 349-370.
  • 10Oliver C,Quegan S.Understanding Synthetic Aperture Radar Images[M].Norwood:Artech House,1998.

共引文献29

同被引文献8

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部