Dev

Coded Exposure / Flutter Shutter — Dev Tier

(5 scenes)

Blind evaluation tier — no ground truth available.

What you get

Measurements (y), ideal forward operator (H), and spec ranges only.

How to use

Apply your pipeline from the Public tier. Use consistency as self-check.

What to submit

Reconstructed signals and corrected spec. Scored server-side.

Parameter Specifications

🔒

True spec hidden — estimate parameters from spec ranges below.

Parameter Spec Range Unit
shutter_code_timing_error -1.2 – 1.8 -
motion_blur_psf_mismatch -4.8 – 7.2 velocityerror
sensor_readout_noise 2.6 – 8.6 e-

Dev Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 Restormer-Deblur + gradient 0.764 32.07 0.943 0.83 ✓ Certified Zamir et al., CVPR 2022
2 DiffusionDeblur + gradient 0.744 30.56 0.925 0.84 ✓ Certified Whang et al., CVPR 2022
3 MPRNet + gradient 0.722 28.86 0.898 0.87 ✓ Certified Zamir et al., CVPR 2021
4 BM3D-Deblur + gradient 0.706 28.56 0.892 0.82 ✓ Certified Danielyan et al., IEEE TIP 2012
5 DMPHN + gradient 0.675 26.11 0.835 0.9 ✓ Certified Zhang et al., CVPR 2019
6 DeblurGAN + gradient 0.638 24.52 0.787 0.89 ✓ Certified Kupyn et al., CVPR 2018
7 DnCNN-Deblur + gradient 0.623 23.89 0.765 0.89 ✓ Certified Zhang et al., IEEE TIP 2017
8 Wiener-Deconv + gradient 0.596 23.43 0.748 0.81 ✓ Certified Wiener, MIT Tech. Rep. 1942
9 TV-Deconv + gradient 0.527 20.46 0.621 0.87 ✓ Certified Rudin et al., Physica D 1992

Visible Data Fields

y H_ideal spec_ranges

Dataset

Format: HDF5
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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