Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems

Neural Information Processing Systems 

Plug-and-Play (PnP) methods are efficient iterative algorithms for solving ill-posed image inverse problems. PnP methods are obtained by using deep Gaussian denois-ers instead of the proximal operator or the gradient-descent step within proximal algorithms.