Hidden
Lensless — 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 |
|---|---|---|
| diffuser_psf | -3.5 – 11.5 | % |
| sensor_distance | -0.14 – 0.46 | mm |
| wavelength | -3.5 – 11.5 | nm |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Uformer + gradient | 0.622 | 23.92 | 0.766 | 0.88 | ✓ Certified | Wang et al., CVPR 2022 |
| 2 | FlatNet + gradient | 0.584 | 22.9 | 0.727 | 0.82 | ✓ Certified | Khan et al., IEEE TPAMI 2020 |
| 3 | PnP-ADMM + gradient | 0.558 | 22.37 | 0.706 | 0.76 | ✓ Certified | Monakhova et al., Opt. Express 2019 |
| 4 | Wiener-ADMM + gradient | 0.506 | 20.07 | 0.602 | 0.82 | ✓ Certified | Antipa et al., Optica 2018 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%