A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.

小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声，将噪声从信号中分离出来。

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Economy through scale, crucial factor of speed and creation of maximum value with minimal cost.

规模优势，速度致胜，以最低成本创造最大价值。

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First, nonlinear stack filter is applied to estimate the maximum and minimum of noise-free image's gray scale value in a local region.

首先非线性堆滤波器用于求出图象某象素点邻域内的灰度最大值与最小值的最优估计，然后以此两估计值之差代替原象素点灰度值。

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