Authors : Salkapuram Vidya Rani; Nampally Sabitha; Padamuttum Anitha

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/49vsbw8m

Scribd : https://tinyurl.com/3nxbcsyz

DOI : https://doi.org/10.5281/zenodo.14964390

Abstract : 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.

Keywords : Optical Imaging Systems, Super Resolution, Artificial Intelligence.

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