Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers

Michael Unser, Stanislas Ducotterd

This paper addresses the task of learning convex regularizers to guide the reconstruction of images from limited data. By imposing that the reconstruction be amplitude-equivariant,…