Public
SPC-Kronecker — Public Tier
(20 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| gain_decay_alpha | 0.0005 – 0.0095 | 0.005 | 1/measurement |
| noise_sigma | 0.01 – 0.05 | 0.03 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PnP-DRUNet + blind cal | 0.720 | 26.33 | 0.814 | 0.92 | ✓ Certified | InverseNet Scenario IV |
| 2 | FISTA-TV (tuned) + blind cal | 0.693 | 25.34 | 0.757 | 0.94 | ✓ Certified | InverseNet Scenario IV |
| 3 | FISTA-TV (paper) + blind cal | 0.690 | 25.21 | 0.751 | 0.94 | ✓ Certified | InverseNet Scenario IV |
| 4 | HATNet + FISTA-TV + blind cal | 0.686 | 25.38 | 0.746 | 0.92 | ✓ Certified | InverseNet Scenario IV |
| 5 | ISTA-Net + blind cal | 0.628 | 24.11 | 0.595 | 0.99 | ✓ Certified | InverseNet Scenario IV |
| 6 | PnP-BM3D + blind cal | 0.565 | 19.57 | 0.527 | 0.99 | ✓ Certified | InverseNet Scenario IV |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 20
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%