Abstract
In this paper, a nonlinear motion-compensated filter is described for removing α-stable noise from video sequences. To address this problem, we propose a spatio-temporal adaptive weighted myriad and lp-norm filters. Prior to filtering, motion compensation is performed by using a block-matching algorithm with p-norm matching error function. Then, we apply the proposed filter to the reconstructed frames. The effective performance of the proposed scheme is illustrated through computer simulations involving the filtering of video sequences. © Springer-Verlag 2004.
Cite
CITATION STYLE
El Hassouni, M., & Cherifi, H. (2004). Alpha-stable noise reduction in video sequences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3211, 580–587. https://doi.org/10.1007/978-3-540-30125-7_72
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