Dev
Lensless — 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 |
|---|---|---|
| diffuser_psf | -6.0 – 9.0 | % |
| sensor_distance | -0.24 – 0.36 | mm |
| wavelength | -6.0 – 9.0 | nm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Uformer + gradient | 0.694 | 27.65 | 0.873 | 0.84 | ✓ Certified | Wang et al., CVPR 2022 |
| 2 | PnP-ADMM + gradient | 0.623 | 24.29 | 0.779 | 0.84 | ✓ Certified | Monakhova et al., Opt. Express 2019 |
| 3 | FlatNet + gradient | 0.612 | 23.55 | 0.752 | 0.88 | ✓ Certified | Khan et al., IEEE TPAMI 2020 |
| 4 | Wiener-ADMM + gradient | 0.526 | 20.77 | 0.635 | 0.82 | ✓ Certified | Antipa et al., Optica 2018 |
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%