An effective method of image Gauss noise filtering based on PCNN
Wenrong Tan · jOURNAL OF southwest University for Nationalities · 2012
The principle of pulse coupled neural network(PCNN) is disussed,and the PCNN model is properly simplified.A new mothod that combines the PCNN model with the Weiner filter and the mean filter is proposed for the removal of gauss noise in digital images.Compared with other traditional filtering methods,this method works well,and has strong adaptability as well as protecting image edge and image detail while noises are decreased.The experiment results and comparisons show that PSNRs of restored images by using PCNN are higher than those by using one of two usual image restoration methods,the median filter and the mean filter.