Public
Terahertz Imaging (THz) — Public Tier
(3 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 |
|---|---|---|---|
| pulse_chirp | -0.02 – 0.04 | 0.01 | ps^2 |
| water_vapor_absorption | 0.06 – 0.18 | 0.12 | 1/cm |
| beam_alignment_error | -0.2 – 0.4 | 0.1 | mm |
| dynamic_range_drift | 0.98 – 1.04 | 1.01 | - |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
13.44 dB
SSIM 0.6187
Scenario II (Mismatch)
11.17 dB
SSIM 0.1544
Scenario III (Oracle)
18.72 dB
SSIM 0.1396
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 13.33 | 0.6172 | 12.65 | 0.1296 | 18.68 | 0.1369 |
| scene_01 | 13.64 | 0.6232 | 9.57 | 0.1826 | 18.81 | 0.1378 |
| scene_02 | 13.41 | 0.6172 | 10.74 | 0.1609 | 18.65 | 0.1450 |
| scene_03 | 13.36 | 0.6172 | 11.71 | 0.1445 | 18.74 | 0.1385 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | THz-Former + gradient | 0.779 | 32.4 | 0.947 | 0.88 | ✓ Certified | THz reconstruction transformer, 2024 |
| 2 | THz-Net + gradient | 0.751 | 30.61 | 0.926 | 0.87 | ✓ Certified | Ahi et al., Opt. Express 2020 |
| 3 | PnP-SPIRAL + gradient | 0.667 | 25.63 | 0.821 | 0.91 | ✓ Certified | Harmany et al., IEEE TCI 2012 |
| 4 | Wiener-THz + gradient | 0.570 | 21.78 | 0.68 | 0.9 | ✓ Certified | Jepsen et al., Laser Photon. Rev. 2011 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%