Table 2.
Quantitative evaluation on SID dataset, in terms of PSNR and SSIM. The best results are in bold.
| Method | PSNR↑ | SSIM↑ |
|---|---|---|
| DSLR | 17.25 | 0.4229 |
| LIME | 17.76 | 0.3506 |
| SCIE | 21.16 | 0.6398 |
| DeepUPE | 21.55 | 0.6531 |
| LRD | 22.13 | 0.7172 |
| Our | 22.60 | 0.6728 |
Quantitative evaluation on SID dataset, in terms of PSNR and SSIM. The best results are in bold.
| Method | PSNR↑ | SSIM↑ |
|---|---|---|
| DSLR | 17.25 | 0.4229 |
| LIME | 17.76 | 0.3506 |
| SCIE | 21.16 | 0.6398 |
| DeepUPE | 21.55 | 0.6531 |
| LRD | 22.13 | 0.7172 |
| Our | 22.60 | 0.6728 |