no code implementations • 10 Mar 2024 • Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni
We consider an unsupervised bilevel optimization strategy for learning regularization parameters in the context of imaging inverse problems in the presence of additive white Gaussian noise.
no code implementations • 2 Aug 2019 • Luca Calatroni, Alessandro Lanza, Monica Pragliola, Fiorella Sgallari
In this paper we present a new regularization term for variational image restoration which can be regarded as a space-variant anisotropic extension of the classical isotropic Total Variation (TV) regularizer.