These codes are non-optimized prototypes. They implement the main methods appearing in my publications. The core has been written in C/C++ by myself. They are distributed and protected by the free software licence LGPL 2.1 .

SELF-SIMILAR PRIOR AND WAVELET BASES FOR TURBULENT MOTION ESTIMATION (Licence LGPL 2.1)
SIAM Journal on Imaging Sciences, Volume 7, Issue 2, pp. 1171-1209, 2014. details




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WAVELET BASES AND HIGH-ORDER REGULARIZATION (Licence LGPL 2.1)
International Journal of Computer Vision, Volume 103, Issue 1, pp 80-99, May 2013. details
Numerical Mathematics: Theory, Methods and Applications, pp. 116-137, 6, 2013. details




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BAYESIAN ESTIMATION OF TURBULENT MOTION (Licence LGPL 2.1)
IEEE transactions on Pattern Analysis And Machine Intelligence, 35(6), pp. 1343-56, June 2013. details
Tellus Series A: Dynamic Meteorology and Oceanography, 64, 10962, 2012 .details



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BAYESIAN INFERENCE IN MOTION ESTIMATION (Licence LGPL 2.1)
IEEE transactions on Image Processing. 21(4):1437 -1451, 2012 details



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ESTIMATION OF ATMOSPHERIC LAYERS 3D MOTION (Licence LGPL 2.1)
IEEE transactions on Geosciences and Remote Sensing, Vol. 46, Issue. 8, pp. 2385-2396, 2008 details




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SPATIO-TEMPORAL REGULARIZATION AND CORRELATION-VARIATIONAL APPROACH (Licence LGPL 2.1)
IEEE transactions on Geosciences and Remote Sensing, pp. 4087-4104, vol. 45, Issue 12, Part 2, 2007 details
Experiments in Fluids. 45(4):595-608, 2008. details




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BAYESIAN LEARNING OF SPATIO-TEMPORAL PATTERNS IN SATELLITE IMAGERY
IEEE Transactions on Geoscience and Remote Sensing, pp. 1635 - 1647, vol. 43, Issue 7, 2005. details
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ASTRONOMICAL IMAGE SEGMENTATION USING MORPHOLOGICAL OPERATORS
Master thesis Report, 2000 (in french). details




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