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.