A salt and pepper noise image filtering method using PCNN

Abstract

Based on Pulse Coupled Neural networks, an effective salt and pepper noise image filtering method is proposed. Similar groups of neurons burst synchronous pulses in a PCNN, thereby the noise pixels are detected. Considering a noise pixel has the most similarity with neighbor non-noise pixels, a filtering method called extended median filtering is put forward to filter the noises in an image. Simulation results show that the method proposed has excellent filtering performance for the noise images with different noise intensity, and has the obvious advantage compared with the median filter. © Springer-Verlag Berlin Heidelberg 2013.