Hidden
Solar EUV/X-ray Imaging — 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 |
|---|---|---|
| psf_degradation_(mirror_aging) | -2.8 – 9.2 | - |
| stray_light | -0.7 – 2.3 | - |
| flat_field_error | -0.42 – 1.38 | - |
| pointing_jitter | -0.14 – 0.46 | arcsec |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SolarFormer + gradient | 0.560 | 22.39 | 0.706 | 0.77 | ✓ Certified | SDO-based restoration, 2024 |
| 2 | Pixon + gradient | 0.558 | 22.16 | 0.697 | 0.79 | ✓ Certified | Pina & Puetter, PASP 1993 |
| 3 | Richardson-Lucy + gradient | 0.555 | 21.9 | 0.686 | 0.81 | ✓ Certified | Richardson 1972 / Lucy 1974 |
| 4 | DeepEM + gradient | 0.435 | 17.98 | 0.499 | 0.78 | ✓ Certified | Su et al., ApJ 2022 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%