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A PDE Based Method for Speckle Noise Suppression

机译:基于PDE的斑点噪声抑制方法

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摘要

The presence of speckle noise hinders observers from acquiring information of SAR images. It is desirable to remove speckle noise without features destroyed. In this paper, a PDE (partial differential equation) based method is presented to suppress the speckle noise. Unlike Perona & Malik's method, standard gradient is introduced to distinguish between the continuous areas and edges in SAR images. Since standard gradient makes use of the statistical information to locate the edges its application in PDE brings better image enhancement results. To demonstrate the performance of our method, we apply it to real SAR images. The experiment results show that the method reduces speckle and keeps important features simultaneously.
机译:斑点噪声的存在阻碍了观察者获取SAR图像信息。希望消除斑点噪声而不破坏特征。本文提出了一种基于PDE(偏微分方程)的方法来抑制斑点噪声。与Perona&Malik的方法不同,引入了标准梯度来区分SAR图像中的连续区域和边缘。由于标准梯度利用统计信息来定位边缘,因此其在PDE中的应用带来了更好的图像增强效果。为了演示我们方法的性能,我们将其应用于真实的SAR图像。实验结果表明,该方法减少了斑点并同时保留了重要特征。

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