Title :
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
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;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.342979
