Image Compression on Tissue Patches Balanced
96SSIMJPEG-2000
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| JPEG-20002026.05 | 96 | 90 | 99 | 37 | 28 | 47 | 18,812 | 14 | -74 | 92 | 2.84 | — | |
| JPEG-XL2026.05 | 96 | 90 | 100 | 37 | 28 | 54 | 15,293 | 17 | -3 | 60 | 2.31 | 3 | |
| bmshj2018-hyperpriorPretrained=false, Quality Level=6, Lambda=60.5, Distortion Loss=SSIM, Augmentation=true2026.05 | 96 | 88 | 100 | 33 | 25 | 45 | 11,175 | 37 | -18 | 59 | 1.69 | 24 | |
| JPEG2026.05 | 95 | 87 | 100 | 35 | 28 | 54 | 18,678 | 0 | 0 | 0 | 2.82 | 2 | |
| Elic2022ChandelierPretrained=false, Lambda=60.5, Distortion Loss=SSIM, Augmentation=true2026.05 | 95 | 84 | 100 | 32 | 23 | 46 | 9,154 | 48 | 4 | 80 | 1.38 | 112 | |
| mbt2018-meanPretrained=false, Quality Level=5, Lambda=31.73, Distortion Loss=SSIM, Augmentation=true2026.05 | 94 | 83 | 100 | 32 | 23 | 44 | 7,415 | 59 | 24 | 94 | 1.12 | 26 | |
| mbt2018-meanPretrained=true, Quality Level=5, Distortion Loss=MSE2026.05 | 92 | 80 | 100 | 33 | 27 | 48 | 6,267 | 69 | 51 | 91 | 0.95 | 26 | |
| Elic2022ChandelierPretrained=false, Lambda=0.03, Distortion Loss=MSE, Augmentation=true2026.05 | 92 | 78 | 100 | 33 | 23 | 50 | 5,639 | 71 | 64 | 94 | 0.85 | 115 | |
| bmshj2018-hyperpriorPretrained=true, Quality Level=5, Distortion Loss=MSE2026.05 | 91 | 78 | 99 | 33 | 24 | 48 | 5,882 | 70 | 62 | 86 | 0.89 | 19 | |
| bmshj2018-factorizedPretrained=true, Quality Level=5, Distortion Loss=MSE2026.05 | 89 | 68 | 100 | 32 | 21 | 49 | 5,309 | 71 | 14 | 78 | 0.8 | 10 | |
| bmshj2018-factorizedPretrained=false, Quality Level=5, Lambda=0.025, Distortion Loss=MSE, Augmentation=false2026.05 | 88 | 66 | 99 | 31 | 20 | 47 | 5,377 | 68 | -54 | 77 | 0.81 | 10 | |
| bmshj2018-factorizedPretrained=false, Quality Level=5, Lambda=0.025, Distortion Loss=MSE, Augmentation=true2026.05 | 87 | 63 | 99 | 31 | 21 | 49 | 5,085 | 70 | -37 | 79 | 0.77 | 10 |