Deep Learning-Based Hybrid Approach for Phase Retrieval

Date

2019-06-24

Author

IŞIL, ÇAĞATAY
Öktem, Sevinç Figen
KOÇ, AYKUT

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Deep learning

URI

https://hdl.handle.net/11511/37238

DOI

https://doi.org/10.1364/cosi.2019.cth2c.5

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Department of Electrical and Electronics Engineering, Conference / Seminar

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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: https://hdl.handle.net/11511/37238.