TY  - JOUR
AU  - Rafael E. Rivadeneira
AU  - Angel Sappa
AU  - Boris X. Vintimilla
AU  - Riad I. Hammoud
PY  - 2022//
TI  - A Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super-Resolution
T2  - SENS
JO  - Sensors
SP  - 2254
VL  - 22
IS  - 6
KW  - Thermal image super-resolution
KW  - unsupervised super-resolution
KW  - thermal images
KW  - attention module
KW  - semiregistered thermal images
N2  - This paper presents a transfer domain strategy to tackle the limitations of low-resolution thermal sensors and generate higher-resolution images of reasonable quality. The proposed technique employs a CycleGAN architecture and uses a ResNet as an encoder in the generator along with an attention module and a novel loss function. The network is trained on a multi-resolution thermal image dataset acquired with three different thermal sensors. Results report better performance benchmarking results on the 2nd CVPR-PBVS-2021 thermal image super-resolution challenge than state-of-the-art methods. The code of this work is available online.
L1  - http://refbase.cvc.uab.es/files/RSV2022b.pdf
UR  - http://dx.doi.org/10.3390/s22062254
N1  - MSIAU;
ID  - Rafael E. Rivadeneira2022
ER  -