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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.


9872ed9fc22fc182d371c3e9ed316094-AuthorFeedback.pdf

Neural Information Processing Systems

We thank the reviewers for carefully reading the manuscript and providing us with valuable feedback. This was omitted from the submitted manuscript due to space. We will clarify L220 to make this more precise. However, we will certainly include citations to both Danielyan and Tseng in the manuscript. L17 to say that the true prior might be unknown for certain signals, such as natural images.