Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

Tim Meinhardt, Michael Moeller, Caner Hazirbas +1

While variational methods have been among the most powerful tools for solving linear inverse problems in imaging, deep (convolutional) neural networks have recently taken the lead…