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

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...

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Bibliographic Details
Main Authors: Bey, P.P., Yonce, D.J., Newcomb, R.W.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical optical imaging
Bridge circuits
Cellular neural networks
Integrated circuit interconnections
Numerical models
Optical computing
Optical feedback
Optical fiber networks
Optical filters
Signal generators
Online Access:Request full text
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Summary: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.< >
DOI:10.1109/MWSCAS.1993.342979