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Proceedings Paper

Noise suppression in video sequences applying fuzzy vectorial directional algorithms
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Paper Abstract

The usage of spatial-temporal information is more efficient than just their usage in a separate way. It has been designed a new fuzzy logic adaptive scheme applying directional and fuzzy processing technique with motion detection and spatialtemporal filtering of video sequences. The proposed method can distinguish the uniform regions, edges and details features in the images decreasing the processing time charges, taking only in account the samples, which demonstrate high level of corruption or motion. The algorithm runs adapting spatial-temporal information to smooth an additive noise. The non-stationary noise, which left after temporal algorithm, is removed employing a magnitude algorithm that is adapted using parameters obtained during the filtering. The designed algorithm is compared with other filters found in literature, showing the effectiveness of proposed fuzzy logic filtering approach.

Paper Details

Date Published: 4 March 2008
PDF: 11 pages
Proc. SPIE 6811, Real-Time Image Processing 2008, 68110P (4 March 2008); doi: 10.1117/12.758659
Show Author Affiliations
Volodymyr Ponomaryov, National Polytechnic Institute of Mexico, EISME-Culhuacan (Mexico)
Alberto Rosales-Silva, National Polytechnic Institute of Mexico, EISME-Culhuacan (Mexico)
Francisco Gallegos-Funes, National Polytechnic Institute of Mexico, EISME-Zacatenco (Mexico)


Published in SPIE Proceedings Vol. 6811:
Real-Time Image Processing 2008
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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