遥感技术与应用 2008, Vol. 23 Issue (5): 561-564 DOI: 10.11873/j.issn.1004-0323.2008.5.561 |
图像处理 |
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基于复小波噪声方差显著修正的SAR图像去噪 |
施汉琴,张大明,罗斌 |
(安徽大学计算机科学与技术学院,安徽 合肥 230039) |
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SAR Image Denoising Based on Significant Estimation ofNoise Variance of Complex Wavelet Coefficients |
SHI Han-qin,ZHANG Da-ming,LUO Bin |
(School of Computer Science and Technology,Anhui University|Hefei 230039,China) |
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[2] Xie H,Pierce L E,Ulaby F T.SAR Speckle Reduction Using Wavelet Denoising and Markov Random Field Modeling[J].IEEE Trans.on Geosciences and Remote Sensing,2002,10(4):2196-2211.
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[4] Kingsbury N.The Dual-tree Complex Wavelet Transform:A New Efficient Tool for Image Restoration and Enhancement[C].Proc.European Signal Processing Conference,EUSIPCO98.Rhodes,1998,319-322.
[5] Yi X,Wang W R.The Application of Statistic Model for Complex Wavelet Coefficients in Image Denoising[J].Optolectronic Engineering,2004,31(8):69-72.[易翔,王蔚然.复数小波统计模型在图像降噪中的应用[J].光电工程,2004,31(8):69-72.]
[6] Donoho D L,Johnstone I M.Ideal Spatial Adaptation by Wavelet Shrinkage[J].Biometrika,1994,81(3):425-455.
[7] Xie J C,Zhang D L.On the Usage of a Wavelet Coefficient Model in Noise Variance Estimation of Image[J].Journal of Electronics & Information Technology,2004,26(5):673-678.[谢杰成,张大力.一种小波系数模型在图像噪声参数估计中的应用[J].电子与信息学报,2004,26(5):673-678.] |
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