Browse State-of-the-Art › Nonhomogeneous Image Dehazing
Nonhomogeneous Image Dehazing
10 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 May 2020 2 repositories listed Syntology ran 2 of 6 samples · 4 unverifiedRecently, CNN based end-to-end deep learning methods achieve superiority in Image Dehazing but they tend to fail drastically in Non-homogeneous dehazing.
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28 Feb 2020 2 repositories listedThe accuracy and effectiveness of SID depends on accurate value of transmission and atmospheric light.
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12 Jun 2024 1 repository listedImage dehazing, a pivotal task in low-level vision, aims to restore the visibility and detail from hazy images.
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17 Apr 2023 1 repository listedThis work aims to improve the applicability of diffusion models in realistic image restoration.
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Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal6 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)Few existing image defogging or dehazing methods consider dense and non-uniform particle distributions, which usually happen in smoke, dust and fog.
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8 Feb 2022 1 repository listedA novel Encoder-Decoder Network with Guided Transmission Map (EDN-GTM) for single image dehazing scheme is proposed in this paper.
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12 Sep 2021 1 repository listedThis paper proposes an end-to-end Efficient Re-parameterizationResidual Attention Network(ERRA-Net) to directly restore the nonhomogeneous hazy image.
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15 Aug 2020 1 repository listedLearning to dehaze single hazy images, especially using a small training dataset is quite challenging.
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14 May 2020 1 repository listedIn addition, to further enhance the performance of the method for haze removal, a patch-map-based DCP has been embedded into the network, and this module has been trained with the atmospheric light generator, patch map…
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1 Jun 2019 1 repository listedConventional patch-based haze removal algorithms (e.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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