Research map / Image generation / Image restoration
Non-Local Image Dehazing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Road1, σ=0 | transmission L1 error: 0.069 -> 0.058 | Helped |
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Road1, σ=0 | dehazed image L1 error: 0.033 -> 0.040 | Hurt |
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Lawn1, σ=0 | transmission L1 error: 0.077 -> 0.032 | Helped |
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Mansion, σ=0 | transmission L1 error: 0.042 -> 0.080 | Hurt |
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Church, σ=0 | transmission L1 error: 0.039 -> 0.047 | Hurt |
| Use non-local haze-lines instead of the Fattal [3] method | Single-image dehazing · Raindeer, σ=0 | transmission L1 error: 0.066 -> 0.089 | Hurt |
| Use non-local haze-lines instead of He et al. [5] | Single-image dehazing · Road1, σ=0 | transmission L1 error: 0.097 -> 0.058 | Helped |
| Use non-local haze-lines instead of He et al. [5] | Single-image dehazing · Lawn1, σ=0 | transmission L1 error: 0.118 -> 0.032 | Helped |
| Use non-local haze-lines instead of He et al. [5] | Single-image dehazing · Mansion, σ=0 | transmission L1 error: 0.074 -> 0.080 | No clear effect |
| Use non-local haze-lines instead of He et al. [5] | Single-image dehazing · Church, σ=0 | transmission L1 error: 0.07 -> 0.047 | Helped |
| Use non-local haze-lines instead of He et al. [5] | Single-image dehazing · Raindeer, σ=0 | transmission L1 error: 0.127 -> 0.089 | Helped |
| Add transmission regularization to the initial estimate | Non-local dehazing · Forest image in Figure 6 | transmission map spatial smoothness | Helped |
Closest papers by meaning
- Guided Real Image Dehazing Using YCbCr Color Space (AAAI 2025 · similarity 0.87)
- Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing (CVPR 2025 · similarity 0.87)
- Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images (CVPR 2025 · similarity 0.86)
- PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing (NeurIPS 2026 · similarity 0.86)
- PromptHaze: Prompting Real-world Dehazing via Depth Anything Model (AAAI 2025 · similarity 0.85)
- Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training (AAAI 2025 · similarity 0.84)
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