Image assimilation for oceanography and medical
applications
Research
projects
ANR
GOTMI, 2017-2020. PI: Nicolas Papadakis. Generalized Optimal
Transport Models for Image Processing.
Imag'in
CAVALIERI, 2015-2016. PI: Vincent
Duval, Inria Paris. CAlcul des VAriations pour L'Imagerie,
l'Edition et la Recherche d'Images.
PGMO
MAORI , 2012-2015. MAthematiques et Optimisation pouR l'Image,
Programme Gaspard Monge pour l'Optimisation et la recherche
opérationnelle. PI: Matthieu
Kowalski, L2S, Paris-Sud.
Color
Transfer between images. Matlab implementation of "Non-convex
relaxation of optimal transport for color transfer" (with J. Rabin).
Histogram-Based
Image Segmentation. Matlab implementation of "Convex
Histogram-Based Joint Image Segmentation with Regularized Optimal
Transport Cost" (with J. Rabin).
Discrete
Optimal transport. Matlab implementation of "Regularized
Discrete Optimal Transport" (with S. Ferradans, G. Peyré, J.-F.
Aujol).
Continuous
Optimal transport. Matlab implementation of "Optimal Transport
with Proximal Splitting" (with G. Peyré, E. Oudet).
Histogram-based
Image segmentation. Matlab implementation of "A convex
formulation for global histogram based binary segmentation" (with R.
Yildizoglu, J.-F. Aujol, J. Rabin).
Tracking.
C++ implementation of "Tracking with occlusions via graph cuts" (with
A. Bugeau). Sample data to test: PETS (part1,
part2)
Wakeboarder (part1,
part2,
part3)
Histogram
transfer. QT graphic interface using CImg library with default
parameters. Implementation of "A variational model for histogram
transfer of color images" (with E. Provenzi and V. Caselles).
