Image processing using time-varying cellular neural networks

Abstract

Properties of cellular neural networks with time-varying gain of cells in the linear part of the transfer function are studied. It is shown that this concept of the CNN dynamics provides new interesting results of image processing tasks which can be used to improve the performance. This aspect is of great importance for the design of VLSI implemented CNN chips. The new properties are documented by the theoretical analysis and computer simulations of three examples.