From linear to nonlinear unfolded Condat-Vũ algorithm for spectro-polarimetric hight-constrast image recovery

E Chappon (1) , N Pustelnik (1) , J Tachella (1) , L Denneulin (2) , A Ferrari (3) , M Langlois (4)

1 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
2 EPITA - Ecole Pour l'Informatique et les Techniques Avancées
3 Observatoire de la Côte d'Azur
4 CRAL - Centre de Recherche Astrophysique de Lyon

Mots clés: Unfolded proximal neural network; high constrast image recovery; deep learning

Domaines: Traitement du signal et de l'image [eess.SP]

E Chappon, N Pustelnik, J Tachella, L Denneulin, A Ferrari, et al.. From linear to nonlinear unfolded Condat-Vũ algorithm for spectro-polarimetric hight-constrast image recovery. 2024. ⟨hal-04540508⟩