Investigation of contrast enhancement by numerical methods for an optical cellular neural network

Author

Bey, Paul P., Jr. ; Yonce, D.J. ; Newcomb, Robert W.

Author_Institution

Naval Res. Lab., Washington, DC, USA

fYear

1993

fDate

16-18 Aug 1993

Firstpage

582

Abstract

A numerical model of a nearest-neighbor interconnected cellular neural network is described. The cells consist of optically driven autonulling circuits that generate analog output signals. For the numerical analysis we demonstrate that the 2D array provides lateral inhibition properties. Control of the image enhancement is obtained through the the weights associated with a 2D convolution operator

Keywords

analogue processing circuits; cellular neural nets; convolution; feedback; image enhancement; numerical analysis; optical neural nets; 2D convolution operator; 2D photodiode array; contrast enhancement; image enhancement control; lateral inhibition properties; nearest-neighbor interconnected network; numerical methods; optical cellular neural network; optically driven autoing circuits; Biomedical optical imaging; Bridge circuits; Cellular neural networks; Integrated circuit interconnections; Numerical models; Optical computing; Optical feedback; Optical fiber networks; Optical filters; Signal generators;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.342979

Filename

342979