Chromatic aberration correction using reinforcement learning
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
|---|---|
| Title of host publication | Emerging Topics in Artificial Intelligence, ETAI 2023 |
| Editors | Giovanni Volpe, Joana B. Pereira, Daniel Brunner, Aydogan Ozcan |
| Publisher | SPIE - The international society for optics and photonics |
| ISBN (electronic) | 9781510665248 |
| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12655 |
| ISSN | 0277-786X |
Conference
| Title | 2023 Emerging Topics in Artificial Intelligence |
|---|---|
| Abbreviated title | ETAI 2023 |
| Duration | 20 - 24 August 2023 |
| Location | San Diego Convention Center |
| City | San Diego |
| Country | United States of America |
External IDs
| ORCID | /0000-0003-4562-0759/work/190133628 |
|---|
Keywords
ASJC Scopus subject areas
Keywords
- aberration correction, chromatic aberrations, holography, reinforcement learning