Stanislas Ducotterd

Data-Driven Regularization with Weak Convexity for Robust Image Reconstruction

Abstract. We describe a practical framework for data-driven regularization in image reconstruction. It combines model expressivity with the guarantees of variational methods. The approach is based on a weakly convex ridge regularizer, defined as the composition of a convolutional filter bank and pointwise potentials c...