Jpeg Artifact Correction On Icb Quality 10
Metriken
PSNR
PSNR-B
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | PSNR-B | SSIM |
|---|---|---|---|
| dmcnn-dual-domain-multi-scale-convolutional | 30.85 | 31.31 | 0.796 |
| multi-level-wavelet-cnn-for-image-restoration | 30.76 | 31.21 | 0.779 |
| implicit-dual-domain-convolutional-network | 31.71 | 32.02 | 0.809 |
| towards-flexible-blind-jpeg-artifacts-removal | 32.18 | 32.15 | 0.815 |
| quantization-guided-jpeg-artifact-correction | 32.11 | 32.47 | 0.815 |
| compression-artifacts-reduction-by-a-deep | 30.06 | 31.21 | 0.779 |