Modified PCNN Model and Its Application to Mixed-Noise Removal

Pulse coupled neural networks (PCNN) model is a bionic system. It emulates the behavior of visual cortical neurons of cats and has been extensively applied in image processing. We proposed an adaptive mixed-noise removal algorithm, in this paper, based on making further improvements to LAA-PCNN method in the theoretical results, but also realized the automation of mixed-noise removal.