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 l p -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.
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El Hassouni, M., Cherifi, H. (2004). Alpha-Stable Noise Reduction in Video Sequences. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_72
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DOI: https://doi.org/10.1007/978-3-540-30125-7_72
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