Video Denoising by Fuzzy Directional Filter Using the DSP EVM DM642

Authors:
Francisco J. Gallegos-Funes;Victor Kravchenko;Volodymyr Ponomaryov;Alberto Rosales-Silva
Affiliations:
National Polytechnic Institute of Mexico,;Institute of Radio Engineering and Electronics, Moscow, Russia;National Polytechnic Institute of Mexico,;National Polytechnic Institute of Mexico,
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

We present a new 3D Fuzzy Directional (3D-FD) algorithm for the denoising of video colour sequences corrupted by impulsive noise. The proposed approach consists of the estimations of movement levels, noise in the neighborhood video frames, permitting to preserve the edges, fine details and chromaticity characteristics in video sequences. Experimental results show that the noise in these sequences can be efficiently removed by the proposed 3D-FD filter, and that the method outperforms other state of the art filters of comparable complexity on video sequences. Finally, hardware requirements are evaluated permitting real time implementation on DSP EVM DM642.