Classification and reconstruction of spatially overlapping phase objects through diffractive networks

Deniz Mengu; Deniz Mengu; Deniz Mengu; Muhammed Veli; Muhammed Veli; Muhammed Veli; Yair Rivenson; Yair Rivenson; Yair Rivenson; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan

doi:10.1364/COSI.2022.CTu3F.3

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper CTu3F.3
•https://doi.org/10.1364/COSI.2022.CTu3F.3

Classification and reconstruction of spatially overlapping phase objects through diffractive networks

Deniz Mengu, Muhammed Veli, Yair Rivenson, and Aydogan Ozcan

Computational Optical Sensing and Imaging 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Optical Computing and Phase Retrieval (CTu3F)

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D. Mengu, M. Veli, Y. Rivenson, and A. Ozcan, "Classification and reconstruction of spatially overlapping phase objects through diffractive networks," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper CTu3F.3.

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Abstract

We present diffractive networks that can all-optically classify spatially-overlapping phase objects. Individual phase images of the overlapping objects are also reconstructed using electronic networks that process the compressed signals, all-optically synthesized by a diffractive network.

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