Abstract
When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. Different methods have already been tested to get rid of this kind of degradation, especially on infrared sequences. It has been shown that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in terms of edges, while the regularization by the Laplacian operator applied in the same way provides good results in terms of noise removal in uniform areas. In this article, we present hybrid methods which take advantages of both Wiener filter and Laplacian regularization.
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Lemaitre, M., Laligant, O., Blanc-Talon, J., Mériaudeau, F. (2007). Atmospheric Turbulence Effects Removal on Infrared Sequences Degraded by Local Isoplanatism. In: MartÃ, J., BenedÃ, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_35
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DOI: https://doi.org/10.1007/978-3-540-72849-8_35
Publisher Name: Springer, Berlin, Heidelberg
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