Abstract
We develop a novel phase-retrieval algorithm with deep denoiser prior. The approach incorporates learning-based prior to the hybrid input-output method through plug- and-play regularization. Results demonstrate the state-of-the-art performance of our approach and its computational efficiency.
© 2020 The Author(s)
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