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Practical Phase Retrieval Using Double Deep Image Priors
Phase retrieval (PR) concerns the recovery of complex phases from complex magnitudes.
Practical Phase Retrieval: Low-Photon Holography with Untrained Priors
To the best of our knowledge, this is the first work to consider a dataset-free machine learning approach for holographic phase retrieval.
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval
While convergence of the Alternating Direction Method of Multipliers (ADMM) on convex problems is well studied, convergence on nonconvex problems is only partially understood.
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