A New Kind of Hybrid Filter Based on the ICM and the Improved Peak-and-Valley Filter

Abstract

Intersecting cortical model (ICM) has gained widely research as a new artificial neural network. It derives directly from the studies of the small mammal's visual cortex. The improved peak-and-valley filter can keep the details of image sufficiently if the density of noise is low enough. But the image that is badly contaminated with noise, the effect of the improved peak-and-valley filter is inadequate. To overcome this shortage, this paper suggests a kind of designing project of the hybrid filter that applies the ideas of the ICM and the improved peak-and-valley filter. The theory analysis and the simulation experiments of the image processing indicate that this kind of filter can not only remove noise effectively but also keep the details of the image sufficiently.