Hidden
Terahertz Imaging (THz) — Hidden Tier
(3 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 |
|---|---|---|
| pulse_chirp | -0.014 – 0.046 | ps^2 |
| water_vapor_absorption | 0.072 – 0.192 | 1/cm |
| beam_alignment_error | -0.14 – 0.46 | mm |
| dynamic_range_drift | 0.986 – 1.046 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | THz-Former + gradient | 0.647 | 25.73 | 0.824 | 0.8 | ✓ Certified | THz reconstruction transformer, 2024 |
| 2 | PnP-SPIRAL + gradient | 0.596 | 23.37 | 0.745 | 0.82 | ✓ Certified | Harmany et al., IEEE TCI 2012 |
| 3 | THz-Net + gradient | 0.558 | 22.28 | 0.702 | 0.77 | ✓ Certified | Ahi et al., Opt. Express 2020 |
| 4 | Wiener-THz + gradient | 0.479 | 19.52 | 0.575 | 0.77 | ✓ Certified | Jepsen et al., Laser Photon. Rev. 2011 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%