[16a-P01-1~18] 3.1 Basic optics and frontier of optics

[16a-P01-14] Machine Learning-based Image Quality Enhancement for Images Captured with a Liquid Crystal Lens

〇Ryoya Takewaki¹, Marenori Kawamura¹ (1.Akita Univ.)

Keywords:

liquid crystal lens,liquid crystal,image processing

Liquid crystal (LC) lenses can adjust their focal length by controlling the voltage, but the captured images may become blurred due to the influence of spherical aberration and other factors. In this study, to reduce the resolution degradation caused by aberration in images captured with an optical system using an LC lens and to improve image quality, we applied deep learning-based image processing using SwinIR and investigated its correction effect. As a result, some improvements such as edge sharpening were confirmed.