Dev
FPM — 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 |
|---|---|---|
| led_position | -0.12 – 0.18 | mm |
| na_error | 0.094 – 0.109 | |
| defocus | -2.4 – 3.6 | μm |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | Gradient Descent FPM + gradient | 0.660 | 26.31 | 0.841 | 0.8 | ✓ Certified | Tian & Waller, Optica 2015 |
| 2 | PtychoDV + gradient | 0.653 | 26.11 | 0.835 | 0.79 | ✓ Certified | Shamshad et al., IEEE TCI 2019 |
| 3 | Fourier PtychoNet + gradient | 0.580 | 22.74 | 0.721 | 0.82 | ✓ Certified | Jiang et al., BOE 2018 |
| 4 | Alternating Projections + gradient | 0.568 | 22.16 | 0.697 | 0.84 | ✓ Certified | Zheng et al., Nat. Photonics 2013 |
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%