Deep Learning-Based Hybrid Approach for Phase Retrieval

Öktem, Sevinç Figen
We develop a phase retrieval algorithm that utilizes the hybrid-input-output (HIO) algorithm with a deep neural network (DNN). The DNN architecture, which is trained to remove the artifacts of HIO, is used iteratively with HIO to improve the reconstructions. The results demonstrate the effectiveness of the approach with little additional cost.


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Citation Formats
Ç. IŞIL, S. F. Öktem, and A. KOÇ, “Deep Learning-Based Hybrid Approach for Phase Retrieval,” 2019, Accessed: 00, 2020. [Online]. Available: