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. © 2008 SPIE-IS&T.
|Idioma original||Inglés estadounidense|
|Estado||Publicada - 31 mar 2008|
|Evento||Proceedings of SPIE - The International Society for Optical Engineering - |
Duración: 1 ene 2015 → …
|Conferencia||Proceedings of SPIE - The International Society for Optical Engineering|
|Período||1/01/15 → …|
Ponomaryov, V., Rosales-Silva, A., & Gallegos-Funes, F. (2008). Noise suppression in video sequences applying fuzzy vectorial directional algorithms. Papel presentado en Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.758659