High-Resolution Ghost Imaging in Dynamic Scattering Environments With Gaussian Correction
We report an algorithm for high-resolution ghost imaging (GI) in dynamic scattering environments that utilizes deep learning to correct time-varying scaling factors by implementing Gaussian constraints in a loss function.
Authors
- Peng Yang (ORCID: https://orcid.org/0000-0002-1184-8117)
- Wen Chen (ORCID: https://orcid.org/0000-0001-9850-5864)
Institutions
- Hong Kong Polytechnic University (HK)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676728
- Primary Topic
- Random lasers and scattering media
- Type
- article
- Field-Weighted Citation Impact
- 0.00