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Deep Learning-Based Hybrid Approach for Phase Retrieval
Date
2019-06-24
Author
IŞIL, ÇAĞATAY
Öktem, Sevinç Figen
KOÇ, AYKUT
Metadata
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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
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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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.