{"url":"/dataset/nh-haze","name":"NH-HAZE","full_name":null,"description_markdown":"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.\r\n\r\nSource: [NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images](https://data.vision.ee.ethz.ch/cvl/ntire20/nh-haze/)","description_withheld":null,"homepage":"https://data.vision.ee.ethz.ch/cvl/ntire20/nh-haze/","introduced_date":"2020-05-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/nh-haze-an-image-dehazing-benchmark-with-non","title":"NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images","first_author":"Codruta O. Ancuti","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Dehazing","url":"/task/image-dehazing","datasets_with_task":"/datasets/task/image-dehazing"},{"name":"Single Image Dehazing","url":"/task/single-image-dehazing","datasets_with_task":"/datasets/task/single-image-dehazing"},{"name":"Nonhomogeneous Image Dehazing","url":"/task/nonhomogeneous-image-dehazing","datasets_with_task":"/datasets/task/nonhomogeneous-image-dehazing"}],"languages":[],"variants":["NH-HAZE validation","NH-HAZE"],"data_loaders":[],"num_papers_in_archive":37,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-dehazing-on-nh-haze","task":"Image Dehazing","dataset_variant":"NH-HAZE","rows":4,"metrics":["PSNR"],"first_row_in_archive_order":{"model":"CFEN","paper":"/paper/hybrid-local-global-transformer-for-image","metrics":{"PSNR":"24.26"},"code_links":[{"title":"phoenixtreesky7/cfen-vit-dehazing","url":"https://github.com/phoenixtreesky7/cfen-vit-dehazing"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/single-image-dehazing-on-nh-haze","task":"Single Image Dehazing","dataset_variant":"NH-HAZE","rows":1,"metrics":["PSNR"],"first_row_in_archive_order":{"model":"DehazeDCT","paper":"/paper/dehazedct-towards-effective-non-homogeneous","metrics":{"PSNR":"22.78"},"code_links":[{"title":"movingforward100/Dehazing_R","url":"https://github.com/movingforward100/Dehazing_R"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sad-net-a-full-spectral-self-attention-detail","title":"SAD-Net: a full spectral self-attention detail enhancement network for single image dehazing","date":"2025-04-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dehazedct-towards-effective-non-homogeneous","title":"DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer","date":"2024-06-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/structure-representation-network-and","title":"Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal","date":"2022-10-06","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hybrid-local-global-transformer-for-image","title":"Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing","date":"2021-09-15","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}