Untrained Neural Network with Explicit Denoiser For Lensless Inline Holographic Microscopy

Ashwini S Galande; Vikas Thapa; Hanu Phani Ram; Renu John

doi:10.1364/COSI.2021.CTh7A.7

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CTh7A.7
•https://doi.org/10.1364/COSI.2021.CTh7A.7

Untrained Neural Network with Explicit Denoiser For Lensless Inline Holographic Microscopy

Ashwini S Galande, Vikas Thapa, Hanu Phani Ram, and Renu John

Computational Optical Sensing and Imaging 2021

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

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Lensless Imaging (CTh7A)

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A. S. Galande, V. Thapa, H. P. Ram, and R. John, "Untrained Neural Network with Explicit Denoiser For Lensless Inline Holographic Microscopy," 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 CTh7A.7.

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Abstract

We have implemented an untrained deep neural network powered with explicit regularization by denoising for twin image-free reconstruction in inline lensless holographic microscopy. The performance of different denoisers in twin image elimination is discussed.

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