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Sparse Phase Retrieval Algorithm via Smoothing Function in Compressive Optical Imaging

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Abstract

This paper proposes an algorithm to solve the phase retrieval problem in optical imaging in two stages. First, we introduce an initialization to estimate the support of the sparse representation θ in some sparse basis Ψ of an image x. Second, we solve a smoothing optimization problem to reconstruct x. Simulations show that the proposed algorithm requires less number of measurements compared with existing methods.

© 2018 The Author(s)

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