Multi-Image Super-Resolution for Thermal Images

Rafael E. Rivadeneira, Angel D. Sappa, Angel D. Sappa, Boris X. Vintimilla

2022

Abstract

This paper proposes a novel CNN architecture for the multi-thermal image super-resolution problem. In the proposed scheme, the multi-images are synthetically generated by downsampling and slightly shifting the given image; noise is also added to each of these synthesized images. The proposed architecture uses two attention blocks paths to extract high-frequency details taking advantage of the large information extracted from multiple images of the same scene. Experimental results are provided, showing the proposed scheme has overcome the state-of-the-art approaches.

Paper Citation

in Harvard Style

Rivadeneira R., Sappa A. and Vintimilla B. (2022). Multi-Image Super-Resolution for Thermal Images. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 635-642. DOI: 10.5220/0010899500003124

in Bibtex Style

@conference{visapp22,
author={Rafael E. Rivadeneira and Angel D. Sappa and Boris X. Vintimilla},
title={Multi-Image Super-Resolution for Thermal Images},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={635-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010899500003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Multi-Image Super-Resolution for Thermal Images
SN - 978-989-758-555-5
AU - Rivadeneira R.
AU - Sappa A.
AU - Vintimilla B.
PY - 2022
SP - 635
EP - 642
DO - 10.5220/0010899500003124
PB - SciTePress