A Local Pixel Distribution Based Self-adaptive Median Filter for Removal of Pepper and Salt Noise

As we know, for any image, the intensive function varies distinctly in the whole domain and fluctuates little in a small area or a special direction. We name this local pixel value distribution information as priori knowledge. After detecting the salt and pepper noise pixels, the self-adaptive median filter is use to find a suitable window containing more non-noise pixels. By applying the priori knowledge to these non-noise pixels, we deduce maximum likelihood value of the target pixel. Simulations with the restoring attention and peak signal-noise ratio are carried out to demonstrate that the proposed algorithm have superior performance to the existing classical methods.