Design and real-time implementation of a low-cost noise reduction system for video applications

Authors:
Livio Tenze;Sergio Carrato;Stefano Olivieri
Affiliations:
DEEI, University of Trieste, via A. Valerio 10, 34100 Trieste, Italy;DEEI, University of Trieste, via A. Valerio 10, 34100 Trieste, Italy;STMicroelectronics, Via C. Olivetti 2, 20041 Agrate, Brianza, Italy and Philips Research Monza, via G. and A. Philips 12, 20052 Monza, MI, Italy
Venue:
Signal Processing
Year:
2004

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Abstract

A novel noise reduction system for video sequences is presented. It is based on a simple and accurate estimation algorithm, which is used to enable a filter in a suitable set of rational and median operators. The system, which has been implemented in real time for common intermediate format images on a commercial multimedia digital signal processor, has been tested on both synthetic and real-world noise, and is shown to be able to effectively reduce both short- and long-tailed noise.