Optically realized feedback cellular neural networks

Abstract

An optical implementation of cellular neural networks (CNNs), defined by a template with a nonzero feedback operator, is discussed. Two design rules which consider a transient duration of optically realized CNNs are formulated. Possible methods of improving the processing properties of optically realized CNNs are presented. The application of the two design rules can result in an increase in the processing speed of some optically realized feedback CNN applications. A signal dynamic range shift in the electronic feedback path of the system yields an increase in the resolution of images which are subject to optical processing. >