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19 January 2009 Adaptive kernel filtering used in video processing
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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.
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Rasmus Engholm, Henrik Karstoft, and Eva B. Vedel Jensen "Adaptive kernel filtering used in video processing", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571E (19 January 2009);


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