All-optical reconstruction of holograms using diffractive networks (Conference Presentation)

Md Sadman Sakib Rahman; Aydogan Ozcan

doi:10.1117/12.2632562

4 October 2022 All-optical reconstruction of holograms using diffractive networks (Conference Presentation)

Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC122040E (2022) https://doi.org/10.1117/12.2632562
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States

Abstract

We report the all-optical and twin-image-free reconstruction of inline holograms using diffractive networks. Our numerical results reveal that these diffractive network designs, when properly trained using error back-propagation algorithms, generalize very well to reconstruct new, unseen holograms at the speed of light propagation, without any external power source (except the illumination light). These diffractive hologram reconstruction networks also exhibit improved power efficiency and extended depth-of-field. With their passive operation and orders-of-magnitude faster reconstruction speed than digital hologram reconstruction systems, diffractive networks can find numerous applications in holographic imaging and display-related applications.

Conference Presentation

Citation Download Citation

Md Sadman Sakib Rahman and Aydogan Ozcan "All-optical reconstruction of holograms using diffractive networks (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC122040E (4 October 2022); https://doi.org/10.1117/12.2632562

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KEYWORDS

Holograms

3D image reconstruction

Digital holography

Image quality

Diffraction

Reconstruction algorithms

Neural networks

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