Open Access

Design of a Low-Power VLSI Macrocell for Nonlinear Adaptive Video Noise Reduction

EURASIP Journal on Advances in Signal Processing20042004:695803

DOI: 10.1155/S1110865704403035

Received: 26 August 2003

Published: 29 September 2004

Abstract

A VLSI macrocell for edge-preserving video noise reduction is proposed in the paper. It is based on a nonlinear rational filter enhanced by a noise estimator for blind and dynamic adaptation of the filtering parameters to the input signal statistics. The VLSI filter features a modular architecture allowing the extension of both mask size and filtering directions. Both spatial and spatiotemporal algorithms are supported. Simulation results with monochrome test videos prove its efficiency for many noise distributions with PSNR improvements up to 3.8 dB with respect to a nonadaptive solution. The VLSI macrocell has been realized in a 0.18 m CMOS technology using a standard-cells library; it allows for real-time processing of main video formats, up to 30 fps (frames per second) 4CIF, with a power consumption in the order of few mW.

Keywords and phrases

nonlinear image processing video noise reduction adaptive filters very large scale integration architectures low-power design

Authors’ Affiliations

(1)
Department of Information Engineering, University of Pisa
(2)
Institute of Electronics, Information Engineering and Telecommunications, National Research Council

Copyright

© Saponara et al. 2004