Statistical Learning
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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.
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