Image quality improvement method for infrared metalens based on non-blind restoration

Kai Sun; Jiaxin Chen; Haibo Yang; Song Guan

doi:10.1117/12.3048139

13 December 2024 Image quality improvement method for infrared metalens based on non-blind restoration

Kai Sun, Jiaxin Chen, Haibo Yang, Song Guan

Author Affiliations +

Proceedings Volume 13492, AOPC 2024: Laser Technology and Applications; 134921F (2024) https://doi.org/10.1117/12.3048139
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Metalens is a novel optical element composed of sub-wavelength unit structure to achieve beam convergence imaging by modulating the electromagnetic wavefront, which has the advantages of lightweight, easy integration and rich functionality. To address the problem of poor imaging quality of long-wave infrared metalens, this paper proposes an infrared metalens image quality enhancement method based on the combination of point spread function extraction and non-blind restoration algorithm, and experimental validation is carried out, which effectively improves the imaging quality of long-wave infrared metalens.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kai Sun, Jiaxin Chen, Haibo Yang, and Song Guan "Image quality improvement method for infrared metalens based on non-blind restoration", Proc. SPIE 13492, AOPC 2024: Laser Technology and Applications, 134921F (13 December 2024); https://doi.org/10.1117/12.3048139

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE