Block Coordinate Regularization by Denoising

Yu Sun, Jiaming Liu, Ulugbek Kamilov

Neural Information Processing Systems 

We consider the problem of estimating a vector from its noisy measurements using a prior specified only through a denoising function. Recent work on plug-and-play priors (PnP) and regularization-by-denoising (RED) has shown the state-of-the-art performance of estimators under such priors in a range of imaging tasks.