Jpeg Artifact Correction On Icb Quality 20
Metriken
PSNR
PSNR-B
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | PSNR-B | SSIM |
|---|---|---|---|
| multi-level-wavelet-cnn-for-image-restoration | 32.79 | 33.32 | 0.812 |
| implicit-dual-domain-convolutional-network | 33.99 | 34.37 | 0.838 |
| dmcnn-dual-domain-multi-scale-convolutional | 32.77 | 33.26 | 0.830 |
| towards-flexible-blind-jpeg-artifacts-removal | 34.38 | 34.34 | 0.844 |
| quantization-guided-jpeg-artifact-correction | 34.23 | 34.67 | 0.845 |
| compression-artifacts-reduction-by-a-deep | 32.24 | 32.53 | 0.778 |