Coded wavefront sensor and non-iterative learning-based reconstruction

Miao Qi; Congli Wang; Wolfgang Heidrich

doi:10.1364/COSI.2021.CF2B.7

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CF2B.7
•https://doi.org/10.1364/COSI.2021.CF2B.7

Coded wavefront sensor and non-iterative learning-based reconstruction

Miao Qi, Congli Wang, and Wolfgang Heidrich

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Architectures for Optical Signal Processing (CF2B)

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M. Qi, C. Wang, and W. Heidrich, "Coded wavefront sensor and non-iterative learning-based reconstruction," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CF2B.7.

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Abstract

Here we put forward a coded wavefront sensor and neural network framework to achieve wavefront reconstruction. The new framework outperform the preview method not only in the speed but also in the image fidelity.

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