End-to-end reconstruction meets data-driven regularization for inverse problems

Subhadip Mukherjee, Marcello Carioni, Ozan Öktem +1

We propose an unsupervised approach for learning end-to-end reconstruction operators for ill-posed inverse problems. The proposed method combines the classical variational framewor…