Image Impulsive Noise Detection and Suppression by Probabilistic Neural Network
Ye Hua Wei · Telecommunication Engineering · 2009
Probabilistic Neural Network(PNN) is propo(?) for random impulsive noise detection in this paper.Firstly,the characters of a known image pixels with impulsive noise are distilled as the PNN' s input,then,PNN impulsive noise detection model is obtained,and finally,only the noisy pixels of other noisy image detected by PNN are processed by median filter.The result by Matlab shows that this neural network,compared with BPNN,can remarkably raise the correct noise identification rate,thus resulting in better impulse noise elimination.Besides,being simple and fast,this method proves to be a promising neural network impulsive noise detection and suppression method.