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Proceedings Paper

Adaptive kernel filtering used in video processing
Author(s): Rasmus Engholm; Henrik Karstoft; Eva B. Vedel Jensen
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Paper Abstract

In this paper we present a noise reduction filter for video processing. It is based on the recently proposed two dimensional steering kernel, extended to three dimensions and further augmented to suit the spatial-temporal domain of video processing. Two alternative fillters are proposed - the time symmetric kernel and the time asymmetric kernel. The first reduces the noise on single sequences, but to handle the problems at scene shift the asymmetric kernel is introduced. The performance of both kernels is tested on simulated data and on a real video sequence together with the original steering kernel. The proposed kernels improves the Rooted Mean Squared Error (RMSE) compared to the original steering kernel method on video material significantly.

Paper Details

Date Published: 19 January 2009
PDF: 10 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571E (19 January 2009); doi: 10.1117/12.808155
Show Author Affiliations
Rasmus Engholm, Univ. of Aarhus (Denmark)
Engineering College of Aarhus (Denmark)
Bang & Olufsen a/s (Denmark)
Henrik Karstoft, Engineering College of Aarhus (Denmark)
Eva B. Vedel Jensen, Univ. of Aarhus (Denmark)

Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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