Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

27 Jul 2020 Zahra Kadkhodaie Eero P. Simoncelli

Prior probability models are a central component of many image processing problems, but density estimation is notoriously difficult for high-dimensional signals such as photographic images. Deep neural networks have provided state-of-the-art solutions for problems such as denoising, which implicitly rely on a prior probability model of natural images... (read more)

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