TY - GEN
T1 - Fuzzy directional adaptive recursive temporal filter for denoising of video sequences
AU - Rosales-Silva, Alberto
AU - Ponomaryov, Volodymyr
AU - Gallegos-Funes, Francisco
PY - 2007
Y1 - 2007
N2 - In this paper we present the fuzzy directional adaptive recursive temporal filter for denoising of video sequences. The use of spatial-temporal information is considered more efficient in presence of fast motion and noise. We connect the differences between images, such as, the angle deviations to obtain several parameters to apply them in the proposed algorithm to detect and differentiate movement in background of noise. Extensive simulation results have demonstrated that the proposed fuzzy filter can consistently out-performs other filters by balancing the tradeoff between noise suppression and detail preservation.
AB - In this paper we present the fuzzy directional adaptive recursive temporal filter for denoising of video sequences. The use of spatial-temporal information is considered more efficient in presence of fast motion and noise. We connect the differences between images, such as, the angle deviations to obtain several parameters to apply them in the proposed algorithm to detect and differentiate movement in background of noise. Extensive simulation results have demonstrated that the proposed fuzzy filter can consistently out-performs other filters by balancing the tradeoff between noise suppression and detail preservation.
UR - http://www.scopus.com/inward/record.url?scp=38149125420&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-76631-5_63
DO - 10.1007/978-3-540-76631-5_63
M3 - Contribución a la conferencia
SN - 9783540766308
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 660
EP - 670
BT - MICAI 2007
PB - Springer Verlag
T2 - 6th Mexican International Conference on Artificial Intelligence, MICAI 2007
Y2 - 4 November 2007 through 10 November 2007
ER -