Research map / Image generation / Image restoration
Image Deblurring via Extreme Channels Prior
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine Bright Channel Prior and Dark Channel Prior as Extreme Channels Prior (ablation) | Proposed deblurring method · Levin et al. benchmark [13] | PSNR | Helped |
| Combine Bright Channel Prior and Dark Channel Prior as Extreme Channels Prior (ablation) | Proposed deblurring method · Levin et al. benchmark [13] | cumulative error ratio | Helped |
| Use Bright Channel Prior without Dark Channel Prior (ablation) | Proposed deblurring method · Levin et al. benchmark [13] | cumulative error ratio | Helped |
| Use Bright Channel Prior without Dark Channel Prior (ablation) | Proposed deblurring method · Levin et al. benchmark [13] | PSNR | Hurt |
| Use Bright Channel Prior together with Dark Channel Prior (ablation) | Proposed deblurring method · Benchmark [11] | PSNR | Helped |
| Use Bright Channel Prior in addition to Dark Channel Prior | Pan et al. [17] deblurring method · Challenging real image, Figure 8 | visual sharpness | Helped |
Closest papers by meaning
- BlurDM: A Blur Diffusion Model for Image Deblurring (NeurIPS 2025 · similarity 0.85)
- Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization (CVPR 2024 · similarity 0.85)
- Parameterized Blur Kernel Prior Learning for Local Motion Deblurring (CVPR 2025 · similarity 0.85)
- Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing (AAAI 2025 · similarity 0.85)
- Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains (CVPR 2024 · similarity 0.84)
- Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring (CVPR 2024 · similarity 0.84)
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