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Improved image filter based on SPCNN 被引量:8
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作者 ZHANG YuDong WU LeNan 《Science in China(Series F)》 2008年第12期2115-2125,共11页
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, i... 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 corrupted by salt and pepper noise. Experiments show that this method is more preferable than other popular ones, and still works well while noise density fluctuates severely. 展开更多
关键词 nagao filter pulse coupled neural network image smoothing image de-noising salt and pepper noise edge preserving
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