In order to solve the problem that the speed of median filtering is slow because of a lot of sorting, a new fast weighted median filtering algorit h m is presented.
针对中值滤波排序工作量多、速度慢等缺点，提出了一种新的加权中值滤波快速 算法。
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Selecting appropriate weight, weighted median filtering is equal to standard median filterings or some other median filterings, so the fast algorithms adaptability is large.
通过选择适当的权值，加权中值滤波可代表标准中值滤波和其它一些中值滤波，因此该快速算法有较强适应性。
Center weighted median filters has better characteristic on edge preservation and fast filtering, but fail in noise depression.
中心加权中值滤波具有较好的边缘保持特性及快速实现的特点，但滤噪能力低于其它中值滤波。
The performance of the method is also compared with that of the gradient inverse weighted smoothing method and median filtering by experiments.
并且通过实验将这种平滑方法的性能与梯度的倒数加权平均法、中值滤波法进行了比较。
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