57 test samples, each sample has 17 versions represented in the following annotations:
| Anotation | Description |
|---|---|
| Bi | Bicubic interpolated sample |
| HR | High resolution sample |
| LR | Low |
| M_1 | TSRCNN |
| M_2 | VTSRCNN |
| M_3 | TSRCNN with 16 blocks |
| M_4 | InpDconv-TRSCNNres |
| M_5 | AllDconv-TRSCNNres |
| M_6 | TSRCNN with 10 blocks |
| M_7 | Inpbilinear-TRSCNNres |
| M_8 | Inpbicubic-TRSCNNres |
| M_9 | AllDconv-TSRCNN Trained on upsampled image |
| M_10 | TSRGAN |
| M_11 | VTSRGAN |
| LAPSRN | Original LAPSRN model |
| VDSR2 | Original VDSR model |
| VDSR3 | VDSRex |
| 1 | M_1 |
| 2 | M_2 |
| 3 | M_4 |
| 4 | M_5 |
| 5 | M_10 |
| 6 | M_11 |
| 7 | VDSR2 |
| 8 | VDSR3 |
| 9 | LAPSRN |
@article{almasri2018multimodal,
title={Multimodal Sensor Fusion In Single Thermal image Super-Resolution},
author={Almasri, Feras and Debeir, Olivier},
journal={arXiv preprint arXiv:1812.09276},
year={2018}
}