Dev
Integral — Dev Tier
(5 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 |
|---|---|---|
| lens_pitch | -1.2 – 1.8 | μm |
| gap_distance | -6.0 – 9.0 | μm |
| aberration | -0.12 – 0.18 | waves |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DistgSSR + gradient | 0.728 | 29.22 | 0.904 | 0.87 | ✓ Certified | Wang et al., CVPR 2022 |
| 2 | LFAttNet + gradient | 0.671 | 26.59 | 0.848 | 0.83 | ✓ Certified | Tsai et al., IEEE TIP 2020 |
| 3 | PnP-LF + gradient | 0.641 | 24.64 | 0.791 | 0.89 | ✓ Certified | PnP-ADMM with LF prior |
| 4 | Shift-and-Add + gradient | 0.543 | 20.89 | 0.641 | 0.89 | ✓ Certified | Ng et al., Stanford Tech Report 2005 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%