Noise suppression in video sequences applying fuzzy vectorial directional algorithms

Volodymyr Ponomaryov; Alberto Rosales-Silva; Francisco Gallegos-Funes

doi:10.1117/12.758659

4 March 2008 Noise suppression in video sequences applying fuzzy vectorial directional algorithms

Volodymyr Ponomaryov, Alberto Rosales-Silva, Francisco Gallegos-Funes

Proceedings Volume 6811, Real-Time Image Processing 2008; 68110P (2008) https://doi.org/10.1117/12.758659
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Volodymyr Ponomaryov, Alberto Rosales-Silva, and Francisco Gallegos-Funes "Noise suppression in video sequences applying fuzzy vectorial directional algorithms", Proc. SPIE 6811, Real-Time Image Processing 2008, 68110P (4 March 2008); https://doi.org/10.1117/12.758659

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