Holographic Generation of Structured Light Arrays with Redefinable Neural Network
Contrary to the conventional static end-to-end model, we propose a redefinable network, realizing customized modulation on diverse structured light arrays through a single general approach. Originally generating arbitrary-resolution holograms with fixed network is firstly demonstrated.
Authors
- Gang Xu (ORCID: https://orcid.org/0000-0001-5731-5036)
- Yingxiong Qin (ORCID: https://orcid.org/0000-0002-0312-8718)
- Hengyang Li (ORCID: https://orcid.org/0000-0002-4924-4001)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jss129_6
- Primary Topic
- Advanced Optical Imaging Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00