Jpeg Artifact Correction On Live1 Quality 10
Metriken
PSNR
PSNR-B
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | PSNR | PSNR-B | SSIM |
|---|---|---|---|
| towards-flexible-blind-jpeg-artifacts-removal | 27.77 | 27.51 | 0.803 |
| quantization-guided-jpeg-artifact-correction | 27.65 | 27.40 | 0.819 |
| multi-level-wavelet-cnn-for-image-restoration | 27.45 | 27.44 | 0.808 |
| memnet-a-persistent-memory-network-for-image | 27.33 | 27.34 | 0.810 |
| compression-artifacts-reduction-by-a-deep | 26.91 | 26.92 | 0.795 |
| dpw-sdnet-dual-pixel-wavelet-domain-deep-cnns | 27.26 | 27.28 | 0.803 |
| s-net-a-scalable-convolutional-neural-network | 27.35 | 27.36 | 0.809 |
| hierarchical-information-flow-for-generalized | 28.36 | - | 0.818 |
| implicit-dual-domain-convolutional-network | 27.63 | 27.63 | 0.816 |