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
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article

A Study on the Usage of Artificial Intelligence to Enhance the Resolution of Aberrated Optical Imaging Systems

Zenodo (CERN European Organization for Nuclear Research)
Adaptive optics and wavefront sensing
article

A Study on the Usage of Artificial Intelligence to Enhance the Resolution of Aberrated Optical Imaging Systems

article en

Abstract

<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>

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Adaptive optics and wavefront sensing
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