Abstract
Here, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network.
| Original language | English |
|---|---|
| State | Published - 1 Jan 2024 |
| Externally published | Yes |
| Event | 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024 |
Conference
| Conference | 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress |
|---|---|
| Country/Territory | France |
| City | Toulouse |
| Period | 15/07/24 → 19/07/24 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Instrumentation
- Atomic and Molecular Physics, and Optics
- General Computer Science
- Space and Planetary Science
- Control and Systems Engineering
- Electrical and Electronic Engineering