Title :
MRF-CNN: a nonlinear analog circuit for piecewise constant image synthesis
Author :
Regazzoni, Carlo ; Storace, Marco ; Parodi, Mauro
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
A nonlinear analog circuit that realizes a Markov Random Field (MRF) is presented and analyzed. The circuit is made up of linear capacitors and piecewise linear resistors as nonlinear coupling elements. The real-time MRF-like processing obtained through local interactions between cells is the most interesting characteristic of the proposed circuit. The dynamics of the network and a very simple example are described
Keywords :
Markov processes; analogue processing circuits; cellular neural nets; image processing; nonlinear network analysis; piecewise constant techniques; Markov random field CNN; linear capacitors; network dynamics; nonlinear analog circuit; nonlinear coupling elements; piecewise constant image synthesis; piecewise linear resistors; Analog circuits; Coupling circuits; Electric variables; Image generation; Image processing; Markov random fields; Piecewise linear techniques; Random variables; Resistors; Steady-state;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.584483
