Efficient infrared super-resolution

Nicholas Chiapputo; Colleen P. Bailey

doi:10.1117/12.2664110

15 June 2023 Efficient infrared super-resolution

Proceedings Volume 12514, Image Sensing Technologies: Materials, Devices, Systems, and Applications X; 125140E (2023) https://doi.org/10.1117/12.2664110
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

As modern displays continue to increase in resolution, means of capturing images and videos at such high resolutions can be prohibitively expensive. This is especially true in the infrared domain. Image super-resolution, or upsampling, has often been applied to improve the aforementioned problem. Deep learning models have been proposed to reconstruct high quality high-resolution images from a low-resolution base. Previous solutions require a massive number of parameters which necessitate a large amount of free memory and computation power or they fall apart when applied to the infrared domain. As a result, many modern super-resolution models are not entirely practical. One difficult aspect in IR super-resolution is that IR images are inherently noisy, causing a poor signal-to-noise ratio, due to characteristics of IR sensors and internal reflections within the lenses. Because of this, super-resolution in IR must also act somewhat as a denoiser. Therefore, we propose a highly efficient, super-resolution model capable of producing single-image super-resolution in the IR domain.

Citation Download Citation

Nicholas Chiapputo and Colleen P. Bailey "Efficient infrared super-resolution", Proc. SPIE 12514, Image Sensing Technologies: Materials, Devices, Systems, and Applications X, 125140E (15 June 2023); https://doi.org/10.1117/12.2664110

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

Includes PDF, HTML & Video, when available