Untrained neural network with explicit denoiser for lensless inline holographic microscopy

Galande, A.S. and Thapa, V. and Ram, H.P. and John, Renu (2021) Untrained neural network with explicit denoiser for lensless inline holographic microscopy. In: Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021, 19 July 2021through 23 July 2021, Virtual, Online.

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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. © OSA 2021, © 2021 The Author(s)

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IITH Creators:
IITH CreatorsORCiD
John, Renuhttps://orcid.org/0000-0003-3254-2472
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: De-noising; Image elimination; Lensless holographic microscopies; Lensless in-line holographic microscopies; Neural-networks; Performance; Regularisation; Twin-image
Subjects: Biomedical Engineering
Divisions: Department of Biomedical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 07 Oct 2022 04:22
Last Modified: 07 Oct 2022 04:22
URI: http://raiithold.iith.ac.in/id/eprint/10836
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