Chromatic aberration correction using reinforcement learning
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Beitragende
Abstract
Chromatic aberrations can significantly diminish image quality when employing multiple wavelengths for imaging with a single optical system due to dispersion in both optical system and samples. To tackle this problem, we propose a novel approach using an adaptive achromatic lens, which is controlled by a trained Reinforcement Learning agent as part of a machine learning method. Notably, our method corrects chromatic aberrations prior to the imaging process, distinguishing it from conventional software-based post-processing approaches.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Emerging Topics in Artificial Intelligence, ETAI 2023 |
| Redakteure/-innen | Giovanni Volpe, Joana B. Pereira, Daniel Brunner, Aydogan Ozcan |
| Herausgeber (Verlag) | SPIE - The international society for optics and photonics |
| ISBN (elektronisch) | 9781510665248 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Band | 12655 |
| ISSN | 0277-786X |
Konferenz
| Titel | 2023 Emerging Topics in Artificial Intelligence |
|---|---|
| Kurztitel | ETAI 2023 |
| Dauer | 20 - 24 August 2023 |
| Ort | San Diego Convention Center |
| Stadt | San Diego |
| Land | USA/Vereinigte Staaten |
Externe IDs
| ORCID | /0000-0003-4562-0759/work/190133628 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- aberration correction, chromatic aberrations, holography, reinforcement learning