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math.NA2023
Learned Discretization Schemes for the Second-Order Total Generalized Variation
Lea Bogensperger, Antonin Chambolle, Alexander Effland +1
The total generalized variation extends the total variation by incorporating higher-order smoothness. Thus, it can also suffer from similar discretization issues related to isotrop…
math.NA2023
Bilevel learning of regularization models and their discretization for image deblurring and super-resolution
Tatiana A. Bubba, Luca Calatroni, Ambra Catozzi +6
Bilevel learning is a powerful optimization technique that has extensively been employed in recent years to bridge the world of model-driven variational approaches with data-driven…