Public
Coded Exposure / Flutter Shutter — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| shutter_code_timing_error | -1.0 – 2.0 | 0.5 | - |
| motion_blur_psf_mismatch | -4.0 – 8.0 | 2.0 | velocityerror |
| sensor_readout_noise | 3.0 – 9.0 | 6.0 | e- |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
7.84 dB
SSIM 0.3015
Scenario II (Mismatch)
7.84 dB
SSIM 0.1991
Scenario III (Oracle)
10.94 dB
SSIM 0.3682
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 7.64 | 0.2894 | 7.66 | 0.2019 | 10.79 | 0.3739 |
| scene_01 | 7.65 | 0.3040 | 7.65 | 0.1960 | 10.77 | 0.3632 |
| scene_02 | 8.07 | 0.3073 | 8.08 | 0.2002 | 11.17 | 0.3690 |
| scene_03 | 8.02 | 0.3052 | 7.95 | 0.1985 | 11.04 | 0.3666 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffusionDeblur + gradient | 0.844 | 37.35 | 0.98 | 0.89 | ✓ Certified | Whang et al., CVPR 2022 |
| 2 | Restormer-Deblur + gradient | 0.829 | 36.17 | 0.974 | 0.89 | ✓ Certified | Zamir et al., CVPR 2022 |
| 3 | MPRNet + gradient | 0.816 | 35.03 | 0.968 | 0.89 | ✓ Certified | Zamir et al., CVPR 2021 |
| 4 | DMPHN + gradient | 0.798 | 33.49 | 0.957 | 0.9 | ✓ Certified | Zhang et al., CVPR 2019 |
| 5 | DeblurGAN + gradient | 0.783 | 32.86 | 0.951 | 0.87 | ✓ Certified | Kupyn et al., CVPR 2018 |
| 6 | DnCNN-Deblur + gradient | 0.760 | 30.71 | 0.927 | 0.91 | ✓ Certified | Zhang et al., IEEE TIP 2017 |
| 7 | BM3D-Deblur + gradient | 0.732 | 28.96 | 0.9 | 0.91 | ✓ Certified | Danielyan et al., IEEE TIP 2012 |
| 8 | TV-Deconv + gradient | 0.686 | 26.64 | 0.849 | 0.9 | ✓ Certified | Rudin et al., Physica D 1992 |
| 9 | Wiener-Deconv + gradient | 0.626 | 24.02 | 0.769 | 0.89 | ✓ Certified | Wiener, MIT Tech. Rep. 1942 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%