Hidden

Talbot-Lau X-ray Grating Interferometry — Hidden Tier

(5 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
grating_alignment_(rotation) -0.07 – 0.23 deg
inter_grating_distance_error -0.14 – 0.46 -
phase_stepping_error -0.7 – 2.3 perstep
grating_defect_fraction -0.42 – 1.38 -

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 GratingFormer + gradient 0.653 26.28 0.84 0.77 ✓ Certified Grating interferometry transformer, 2024
2 Phase Stepping + gradient 0.503 20.05 0.601 0.81 ✓ Certified Weitkamp et al., Opt. Express 2005
3 PCA Retrieval + gradient 0.501 20.33 0.614 0.76 ✓ Certified Zanette et al., PMB 2012
4 DPC-Net + gradient 0.424 17.33 0.467 0.82 ✓ Certified Differential phase contrast CNN, 2021

Dataset

Scenes: 5

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
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