Toward a Thermal Image-Like Representation

Patricia Suárez, Angel Sappa, Angel Sappa

2023

Abstract

This paper proposes a novel model to obtain thermal image-like representations to be used as an input in any thermal image compressive sensing approach (e.g., thermal image: filtering, enhancing, super-resolution). Thermal images offer interesting information about the objects in the scene, in addition to their temperature. Unfortunately, in most of the cases thermal cameras acquire low resolution/quality images. Hence, in order to improve these images, there are several state-of-the-art approaches that exploit complementary information from a low-cost channel (visible image) to increase the image quality of an expensive channel (infrared image). In these SOTA approaches visible images are fused at different levels without paying attention the images acquire information at different bands of the spectral. In this paper a novel approach is proposed to generate thermal image-like representations from a low cost visible images, by means of a contrastive cycled GAN network. Obtained representations (synthetic thermal image) can be later on used to improve the low quality thermal image of the same scene. Experimental results on different datasets are presented.

Paper Citation

in Harvard Style

Suárez P. and Sappa A. (2023). Toward a Thermal Image-Like Representation. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 133-140. DOI: 10.5220/0011795200003417

in Bibtex Style

@conference{visapp23,
author={Patricia Suárez and Angel Sappa},
title={Toward a Thermal Image-Like Representation},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={133-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011795200003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Toward a Thermal Image-Like Representation
SN - 978-989-758-634-7
AU - Suárez P.
AU - Sappa A.
PY - 2023
SP - 133
EP - 140
DO - 10.5220/0011795200003417
PB - SciTePress