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A digitally programmable current mode analog shunting inhibition cellular neural network

Conference Paper


Abstract


  • A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef®cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the -y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology. © 2000 IEEE.

Publication Date


  • 2000

Citation


  • Bermak, A., & Bouzerdoum, F. B. E. A. (2000). A digitally programmable current mode analog shunting inhibition cellular neural network. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems Vol. 2 (pp. 962-965). doi:10.1109/ICECS.2000.913036

Scopus Eid


  • 2-s2.0-77956051286

Start Page


  • 962

End Page


  • 965

Volume


  • 2

Abstract


  • A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef®cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the -y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology. © 2000 IEEE.

Publication Date


  • 2000

Citation


  • Bermak, A., & Bouzerdoum, F. B. E. A. (2000). A digitally programmable current mode analog shunting inhibition cellular neural network. In Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems Vol. 2 (pp. 962-965). doi:10.1109/ICECS.2000.913036

Scopus Eid


  • 2-s2.0-77956051286

Start Page


  • 962

End Page


  • 965

Volume


  • 2