Usually

there is guass noise and isolated noise in many nature images simultaneously.And it is difficult to getting rid of guass noise and isolated noise only by Median filter or Mean filter at the same time. In allusion to this question

Lee and Kassam proposed an improved algorithm of mean filter. Although they have maked an great improvement

the effect of MTM is still not ideal. It is a threshold that consumedly affect the effect of MTM.In this article

we preposed an improved method of median.filer on the basis of analysing the character of MTM and traditional filter method. This new method applies auto-adapted operators on theN×Narea of every point in the processed image.For the different area of the image

the operators are different too.The election of operator weight mostly depends on the median ofN×Narea. The more the gray value be close to the median

the more the weight of operator is strong. In real application

the new method not only shows better performance than the MTM filter

but also is not affected by any threshold.