Research map / Image generation / Image restoration
Blind Image Deblurring Using Dark Channel Prior
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the dark channel sparsity prior (ablation) | The proposed blind deblurring method · Natural image dataset [16] | Average PSNR | Helped |
| Add the dark channel sparsity prior (ablation) | The proposed blind deblurring method · Dataset [19] | Success rate at error ratio 2: 100 % | Helped |
| Use the proposed method instead of Pan et al. [26] | Text image deblurring · Text image dataset [26] | Average PSNR: 28.80 -> 27.94 | Hurt |
| Add the dark channel prior (ablation) | The proposed method without the dark channel prior · Text image dataset [26] | Deblurring quality | Helped |
Closest papers by meaning
- Image Deblurring via Extreme Channels Prior (CVPR 2017 · similarity 0.92)
- Learning a Discriminative Prior for Blind Image Deblurring (CVPR 2018 · similarity 0.90)
- Robust Blind Text Image Deblurring via Maximum Consensus Framework (AAAI 2024 · similarity 0.87)
- Unsupervised Blind Image Deblurring Based on Self-Enhancement (CVPR 2024 · similarity 0.87)
- BlurDM: A Blur Diffusion Model for Image Deblurring (NeurIPS 2025 · similarity 0.86)
- Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains (CVPR 2024 · similarity 0.86)
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