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.
Full text not available from this repository.
(
Request a copy)
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)
[error in script]
| IITH Creators: |
| IITH Creators | ORCiD |
|---|
| John, Renu | https://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 |
| Publisher URL: |
|
| Related URLs: |
|
Actions (login required)
 |
View Item |