Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms

Alexis Goujon, Sebastian Neumayer, Michael Unser

We propose to learn non-convex regularizers with a prescribed upper bound on their weak-convexity modulus. Such regularizers give rise to variational denoisers that minimize a conv…