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recherche:projets:circumstellar2021 [2021/04/01 16:00] equemene créée |
recherche:projets:circumstellar2021 [2021/04/01 16:00] equemene [Circumstellar environments reconstruction with deep learning] |
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| Following recent advances in deep learning for image restoration [2], the objective of this new work is to explore such framework in the context of high-contrast reconstruction for studying cIrcumstellar environments. Using as a starting point the direct model and the algorithmic strategy provided in [1], we will unroll the iterations to fit a deep learning formalism. | Following recent advances in deep learning for image restoration [2], the objective of this new work is to explore such framework in the context of high-contrast reconstruction for studying cIrcumstellar environments. Using as a starting point the direct model and the algorithmic strategy provided in [1], we will unroll the iterations to fit a deep learning formalism. | ||
| - | Référence : | + | Références : |
| - | [1] L. Denneulin, M. Langlois, E. Thiebaut, and N. Pustelnik, RHAPSODIE : Reconstruction of High-contrAst Polarized SOurces and Deconvolution for cIrcumstellar Environments, submitted, 2020. | + | * [1] L. Denneulin, M. Langlois, E. Thiebaut, and N. Pustelnik, RHAPSODIE : Reconstruction of High-contrAst Polarized SOurces and Deconvolution for cIrcumstellar Environments, submitted, 2020. |
| - | [2] M. Jiu, N. Pustelnik, A deep primal-dual proximal network for image restoration, accepted to IEEE JSTSP, 2021. | + | * [2] M. Jiu, N. Pustelnik, A deep primal-dual proximal network for image restoration, accepted to IEEE JSTSP, 2021. |
| - | [3] A. Pohl et al., New constraints on the disk characteristics and companion candidates around T Cha with VLT/SPHERE, Astronomy & Astrophysics, 605, 2017. | + | * [3] A. Pohl et al., New constraints on the disk characteristics and companion candidates around T Cha with VLT/SPHERE, Astronomy & Astrophysics, 605, 2017. |
| ====== Contribution du CBP ====== | ====== Contribution du CBP ====== | ||
| Le Centre Blaise Pascal met à disposition toute son infrastructure pour permettre des calculs de Machine Learning. | Le Centre Blaise Pascal met à disposition toute son infrastructure pour permettre des calculs de Machine Learning. | ||