Based on Pulse Coupled Neural networks,an effective salt and pepper noise image filtering method is proposed.Synchronous pulses were burst by using the similar groups of neurons in a PCNN,whereby the noise pixels are detected;and the neuron parameter-estimation method was given.Then it is considered that a noise pixel has the most similar with neighbor non-noise pixels,a filtering method called extended window median filter was put forward,which filtered the noise in a noise image.Simulation results show that the proposed method has excellent filtering performance for the noise images of different noise intensity,and has the more obvious advantage than the corresponding median filters method.