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

被引：0

作者：

Sergio Saponara

Luca Fanucci

Pierangelo Terreni

机构：

[1] University of Pisa,Department of Information Engineering

[2] National Research Council,Institute of Electronics, Information Engineering and Telecommunications

来源：

EURASIP Journal on Advances in Signal Processing | / 2004卷

关键词：

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

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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[inline-graphic not available: see fulltext]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.

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