3D vector directional filters to process video sequences

Authors:
Volodymyr Ponomaryov;Francisco Gallegos-Funes;Alberto Rosales-Silva;Igor Loboda
Affiliations:
Mechanical and Electrical Engineering Higher School, ESIME-Culhuacan, National Polytechnic Institute of Mexico, Col. San Francisco Culhuacan, Mexico D.F, Mexico;ESIME-Zacatenco, Mexico, D.F, Mexico;Mechanical and Electrical Engineering Higher School, ESIME-Culhuacan, National Polytechnic Institute of Mexico, Col. San Francisco Culhuacan, Mexico D.F, Mexico;Mechanical and Electrical Engineering Higher School, ESIME-Culhuacan, National Polytechnic Institute of Mexico, Col. San Francisco Culhuacan, Mexico D.F, Mexico
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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Abstract

We present novel algorithms to suppress impulsive noise in video color sequences. They use order statistics, directional and adaptive processing techniques. Extensive simulation results in known reference video color sequences have demonstrated that the proposed filters consistently outperform other filters by balancing the tradeoff between noise suppression, detail preservation, and chromaticity characteristics. The criteria used to compare the performance or various filters were the PSNR, MAE, and NCD.