Analogue weighted median filter based on cellular neural network for standard video signal processing

Author

Kowalski, Iacek

Author_Institution

Inst. of Electron., Tech. Univ. Lodz, Poland

fYear

2002

fDate

22-24 Jul 2002

Firstpage

638

Lastpage

645

Abstract

A VLSI implementation of an analogue weighted median filter based on Cellular Neural Network (CNN) paradigm for standard video signal processing is described in this paper. This filter consists of feedforward nonlinear template B operating within the window of 3 by 3 pixels around the central pixel being filtered. The feedforward nonlinear coefficients are realized using a programmable nonlinear coupler circuits. Basic weighted median filter blocks and chip layout are presented. Technology applied for this implementation is CMOS AMS 0.8μm CYE.

Keywords

VLSI; cellular neural nets; feedforward; median filters; neural chips; video signal processing; CMOS; VLSI implementation; analogue weighted median filter; cellular neural network; chip layout; feedforward nonlinear coefficients; feedforward nonlinear template B; programmable nonlinear coupler circuits; standard video signal processing; weighted median filter blocks; Brightness; Cellular neural networks; Circuits; Differential equations; Digital filters; Information filtering; Information filters; Nonlinear filters; Pixel; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on

Print_ISBN

981-238-121-X

Type

conf

DOI

10.1109/CNNA.2002.1035106

Filename

1035106