Dev
Fundus — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| pupil_dilation | -0.6 – 0.9 | mm |
| focus | -0.3 – 0.45 | diopters |
| vignetting | -6.0 – 9.0 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Swin-Fundus + gradient | 0.673 | 26.39 | 0.843 | 0.86 | ✓ Certified | Li et al., IEEE TMI 2023 |
| 2 | cofe-Net + gradient | 0.636 | 24.51 | 0.786 | 0.88 | ✓ Certified | Shen et al., IEEE TMI 2020 |
| 3 | PnP-BM3D + gradient | 0.623 | 24.56 | 0.788 | 0.81 | ✓ Certified | Danielyan et al., 2012 |
| 4 | Richardson-Lucy + gradient | 0.574 | 21.99 | 0.69 | 0.89 | ✓ Certified | Richardson 1972 / Lucy 1974 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%