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Nonlinear Edge - Preserving Smoothing by PDEs

机译:非线性边缘 - 通过PDE保持平滑

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摘要

This work introduces a new algorithm for image smoothing. Nonlinear partial differential equations (PDEs) are employed to smooth the image while preserving the edges and corners. Compared with other filters such as average filter and median filter, it is found that the effects of image denoising by the new algorithm are better than that by other filters. The experimental results show that this method can not only remove the noise but also preserve the edges and corners. Due to its simplicity and efficiency, the algorithm becomes extremely attractive.
机译:这项工作引入了一种用于图像平滑的新算法。非线性偏微分方程(PDE)用于在保持边缘和角落的同时平滑图像。与平均过滤器和中值滤波器等其他滤波器相比,发现通过新算法的图像去噪效果优于其他滤波器。实验结果表明,这种方法不仅可以去除噪音,还可以保留边缘和角落。由于其简单性和效率,该算法变得极为吸引力。

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