Deep Phase Retrieval by a Learnable Filtered Spectral Initialization
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)(2021)
Abstract
This work proposes a deep neural network approach for the phase retrieval problem, which learns a filtered spectral initialization. Simulation results show that the proposed approach requires fewer snapshots and power iterations than state-of-the-art.
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Key words
learnable filtered spectral initialization,phase,retrieval
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