The more priori knowledge used in removing image noise

the better will the effect of removing image noise be

but we can only get a noise corrupted image in general condition

and can't get this priori knowledge

so effect of removing image noise is not good. A novel filter for removing salt & pepper noise of image is proposed in this paper for solving this problem. Firstly

the filter provides an effective approach for estimating histogram of original image

then gets a membership function through the histogram

and then establishes a weighted fuzzy mean filter based on this membership function

so the filter utilizes the information of the estimated histogram to remove salt and pepper noise; Secondly

the filter does an operation of excluding maximum and minimum gray intensity to the pixels of filter windows in order to remove salt and pepper noise points. Experimental results show that the filter gives superior performance compared with conventional filters and other fuzzy filter

especially

the superiority will more obvious when noise probability exceeds 0 3.