NN-HAZE is an image dehazing dataset. Since in many real cases haze is not uniformly distributed NH-HAZE, a non-homogeneous realistic dataset with pairs of real hazy and corresponding haze-free images. This is the first non-homogeneous image dehazing dataset and contains 55 outdoor scenes. The non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes.
Source: NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
Variants: NH-HAZE validation, NH-HAZE
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Image Dehazing | SRDefog | Structure Representation Network and Uncertainty … | 2022-10-06 |
| Image Dehazing | CFEN | Complementary Feature Enhanced Network with … | 2021-09-15 |
| Image Dehazing | DWGAN | Complementary Feature Enhanced Network with … | 2021-09-15 |
Recent papers with results on this dataset: