TY  - CONF
AU  - Rafael E. Rivadeneira
AU  - Angel Sappa
AU  - Boris X. Vintimilla
A2  - VISAPP
PY  - 2022//
TI  - Multi-Image Super-Resolution for Thermal Images
BT  - 17th International Conference on Computer Vision Theory and Applications (VISAPP 2022)
SP  - 635
EP  - 642
VL  - 4
KW  - Thermal Images
KW  - Multi-view
KW  - Multi-frame
KW  - Super-Resolution
KW  - Deep Learning
KW  - Attention Block
N2  - 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 twoattention 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.
UR  - https://www.scitepress.org/PublicationsDetail.aspx?ID=gGSl9NFalmw=&t=1
L1  - http://refbase.cvc.uab.es/files/RSV2022a.pdf
N1  - MSIAU; 601.349
ID  - Rafael E. Rivadeneira2022
ER  -