边缘自适应滤波:多少和哪个方向?

R. Jha, M. Jernigan
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引用次数: 4

摘要

提出了一种新的自适应滤波方法,用于噪声图像的边缘保持平滑。该滤波器的新颖之处在于其支持区域的大小和方向是同步调整的。从局部方差中提取边缘强度度量并用于控制窗口的大小。梯度方向用于调整窗口的方向。利用边缘强度和边缘检测信息,即使在边缘附近也可以使用大窗口。该滤波器已经测试了加性高斯白噪声以均值作为局部窗口上的点估计量,以及加性白脉冲噪声以中值作为点估计量。结果,特别是自适应中值滤波器,是非常有希望的。结果表明,该滤波器在不影响图像边缘和边缘结构的情况下,在边缘附近有更好的平滑效果。
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Edge adaptive filtering: how much and which direction?
A novel adaptive filter for edge-preserving smoothing of noisy images is introduced. The novelty of the filter is that its region of support is tuned simultaneously in its size and orientation. An edge strength measure is extracted from the local variance and used to control the size of the window. The gradient direction is used to adapt the orientation of the window. The use of both edge strength and edge detection information allows large windows to be used even in the vicinity of edges. The filter has been tested for additive white Gaussian noise with the mean as the point estimator over local windows, and for additive white impulse noise with the median as the point estimator. Results, particularly for the adaptive median filter, are very promising. The results show that the filter does greater smoothing in the vicinity of edges without compromising performance away from edges and the edge structure of the image.<>
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