Improved image filter based on SPCNN

By extraction of the thoughts of non-linear model and adaptive model match, an improved Nagao filter is brought. Meanwhile a technique based on simplified pulse coupled neural network and used for noise positioning, is put forward. Combining the two methods above, we acquire a new method that can restore images cor-rupted by salt and pepper noise. Experiments show that this method is more pref-erable than other popular ones, and still works well while noise density fluctuates severely.