为了克服在图像处理领域常用的线性滤波器的不足，非线性滤波器就成了非常有意义的一个研究方向。Myriad算法是基于稳定模型的一种非线性滤波算法，它能够充分利用稳定分布的多种模式来进行非线性信号加权处理。Myriad滤波作为一种图像滤波算法，和常用的中值滤波相比，其优势在于不仅能够有效地滤除盐椒噪声，还能够使细节部分保持得更好。本文提出了中心加权Myriad滤波器和自适应加权Myriad滤波器，通过对参数K的调节，平衡在窗口中去除噪声和保持图像细节之间的矛盾，而所加权重也能够根据图像自适应变化。

To eliminate the disadvantage of linear filter which always results in blurring the image edge or degrading the image quality in image process area, the research of non linear filter becomes a meaningful job. Myriad algorithm is a kind of non linear filter based on the theory of stable model. It fully uses the different modes of stable distribution to process the non linear signal with weight. When compare with the most frequently used middle filter among algorithms of image filter, Weighted Myriad Filter not only can filter the Salt&Pepper noise efficiently, but also can preserve the image details better than middle filter. After the brief introduction on normal Myriad Filter,in the article we present the central weighted Myriad Filter and the Adaptive Weighted Myriad Filter to achieve better performance through adjusting the K parameter, which is used to balance between noises removing and detail preserving in the window. The weight added to the filter can also vary adaptively according to the image content.