Mixed-signal CNN array chips for image processing

Angel Rodriguez-Vazquez; Servando Espejo Meana; R. Dominguez-Castro; Ricardo Carmona; Elisenda Roca

doi:10.1117/12.262527

19 December 1996 Mixed-signal CNN array chips for image processing

Angel Rodriguez-Vazquez, Servando Espejo Meana, R. Dominguez-Castro, Ricardo Carmona, Elisenda Roca

Proceedings Volume 2950, Advanced Focal Plane Arrays and Electronic Cameras; (1996) https://doi.org/10.1117/12.262527
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) are excellent candidates for the implementation of image processing algorithms using VLSI analog parallel arrays. However, the design of general purpose, programmable CNN chips with dimensions required for practical applications raises many challenging problems to analog designers. This is basically due to the fact that large silicon area means large development cost, large spatial deviations of design parameters and low production yield. CNN designers must face different issues to keep reasonable enough accuracy level and production yield together with reasonably low development cost in their design of large CNN chips. This paper outlines some of these major issues and their solutions.

Citation Download Citation

Angel Rodriguez-Vazquez, Servando Espejo Meana, R. Dominguez-Castro, Ricardo Carmona, and Elisenda Roca "Mixed-signal CNN array chips for image processing", Proc. SPIE 2950, Advanced Focal Plane Arrays and Electronic Cameras, (19 December 1996); https://doi.org/10.1117/12.262527

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