Novel Adaptive Weighted Mean Filter

Based on the advantages and disadvantages of the standard median filter and the standard mean filter,a new Adaptive Weighted Mean Filter(AWFM)was proposed in this paper.The filter window’s size of every pixel was adaptively adjusted.Then the suspicious noise points were examined by certain rules.After that,the authors calculate the weighting factors of the pixels by weighting function which was constructed according to the differences between their gray values and the median value of all elements in the window.Finally they use the weighted average of gray values to substitute the gray value of the central pixel in the window.The results indicate that this filtering method is not only effective for impulse noise like median filter,but also better than the standard median filters.Compared with conventional filter,this filter method can effectively suppress the mixture noise of images,and protect image’s details well.