Improved image filter based on SPCNN |
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Authors: | YuDong Zhang and LeNan Wu |
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Affiliation: | (1) School of Information Science & Engineering, Southeast University, Nanjing, 210096, China |
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Abstract: | 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. |
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Keywords: | Nagao filter pulse coupled neural network image smoothing image de-noising salt and pepper noise edge preserving |
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