Hidden
Integral — Hidden Tier
(5 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| lens_pitch | -0.7 – 2.3 | μm |
| gap_distance | -3.5 – 11.5 | μm |
| aberration | -0.07 – 0.23 | waves |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DistgSSR + gradient | 0.678 | 27.66 | 0.873 | 0.76 | ✓ Certified | Wang et al., CVPR 2022 |
| 2 | PnP-LF + gradient | 0.635 | 24.94 | 0.8 | 0.83 | ✓ Certified | PnP-ADMM with LF prior |
| 3 | LFAttNet + gradient | 0.602 | 23.3 | 0.743 | 0.86 | ✓ Certified | Tsai et al., IEEE TIP 2020 |
| 4 | Shift-and-Add + gradient | 0.476 | 18.88 | 0.544 | 0.85 | ✓ Certified | Ng et al., Stanford Tech Report 2005 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%