Hidden

Coded Exposure / Flutter Shutter — 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
shutter_code_timing_error -0.7 – 2.3 -
motion_blur_psf_mismatch -2.8 – 9.2 velocityerror
sensor_readout_noise 3.6 – 9.6 e-

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 MPRNet + gradient 0.700 28.31 0.887 0.81 ✓ Certified Zamir et al., CVPR 2021
2 DiffusionDeblur + gradient 0.679 27.61 0.872 0.77 ✓ Certified Whang et al., CVPR 2022
3 Restormer-Deblur + gradient 0.673 26.69 0.85 0.83 ✓ Certified Zamir et al., CVPR 2022
4 BM3D-Deblur + gradient 0.657 25.93 0.83 0.83 ✓ Certified Danielyan et al., IEEE TIP 2012
5 DMPHN + gradient 0.634 25.04 0.803 0.81 ✓ Certified Zhang et al., CVPR 2019
6 DeblurGAN + gradient 0.586 23.06 0.733 0.81 ✓ Certified Kupyn et al., CVPR 2018
7 DnCNN-Deblur + gradient 0.554 21.87 0.684 0.81 ✓ Certified Zhang et al., IEEE TIP 2017
8 Wiener-Deconv + gradient 0.528 21.35 0.662 0.75 ✓ Certified Wiener, MIT Tech. Rep. 1942
9 TV-Deconv + gradient 0.425 17.31 0.466 0.83 ✓ Certified Rudin et al., Physica D 1992

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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