Switched-current techniques for image processing Cellular Neural Networks in MOS VLSI

Abstract

An architecture and related building blocks are presented for the realization of image processing tasks using current-mode analog-digital circuits. The architecture is based on the Cellular Neural Network paradigm while implementation is made using switched-current circuit techniques. Since just MOS transistors are required as circuit primitives, the proposed circuits are well suited for standard digital CMOS technologies. Also, the sampled-data nature of switched-current techniques allows for easy incorporation of programmability and reconfigurability issues. Empirical results are given for 1.5μm N-well double-metal CMOS prototypes.