Embedding of multiple functions into a single cellular neural network: an image filtering prospective

In this paper, we propose a method that can embed multiple functions into a single cellular neural network (CNN). Three typical image processing functions using CNN are demonstrated to be embedded with preprocessors. The results show that this method can use only one CNN to implement multiple functions and thus the circuit can be simplified and the efficiency be improved.