Learning Firmly Nonexpansive Operators

Kristian Bredies, Jonathan Chirinos-Rodriguez, Emanuele Naldi

This paper proposes a data-driven approach for constructing firmly nonexpansive operators. We demonstrate its applicability in Plug-and-Play (PnP) methods, where classical algorith…