A Study on the Usage of Artificial Intelligence to Enhance the Resolution of Aberrated Optical Imaging Systems
<p>Optical imaging systems are prone to aberrations that can degrade image quality. Traditional methods for correcting aberrations can be time-consuming and expensive. Artificial intelligence (AI) is revolutionizing the field of optical imaging systems by enhancing resolution and image quality. One of the key techniques used in this field is super- resolution, which involves using machine-learning algorithms to upscale low-resolution images into high-resolution ones. Recent advances in artificial intelligence (AI) have enabled the development of novel methods for attaining super resolution in aberrated optical imaging systems. This article reviews the current state of the art in using AI to attain super resolution in aberrated optical imaging systems. We discuss the theory behind AI-based super resolution, present findings from recent studies, and discuss the implications of these findings.</p>
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-06
- DOI
- https://doi.org/10.5281/zenodo.14964390
- Primary Topic
- Adaptive optics and wavefront sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00