Single Image Haze Removal

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (18 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.

• DehazeNet: An End-to-End System for Single Image Haze Removal
  28 Jan 2016 3 repositories listed
  The key to achieve haze removal is to estimate a medium transmission map for an input hazy image.
• Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing
  28 Feb 2020 2 repositories listed
  The accuracy and effectiveness of SID depends on accurate value of transmission and atmospheric light.
• Single Image Haze Removal using a Generative Adversarial Network
  22 Oct 2018 2 repositories listed
  Traditional methods to remove haze from images rely on estimating a transmission map.
• Single Image Haze Removal Using Dark Channel Prior
  9 Sep 2010 2 repositories listed
  The dark channel prior is a kind of statistics of outdoor haze-free images.
• Task Adaptive Network for Image Restoration With Combined Degradation Factors
  15 Feb 2022 1 repository listed
  Therefore, we propose a task-adaptive attention module to enable the network to restore images with multiple degradation factors.
• PMHLD: Patch Map Based Hybrid Learning DehazeNet for Single Image Haze Removal
  14 May 2020 1 repository listed
  In 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…
• PMS-Net: Robust Haze Removal Based on Patch Map for Single Images
  1 Jun 2019 1 repository listed
  Conventional patch-based haze removal algorithms (e.
• Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks
  1 Mar 2019 1 repository listed
  We train a generative adversarial network to learn the probability distribution of clear images conditioned on the haze-affected images using the Wasserstein loss function, using a gradient penalty to enforce the…
• A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior
  18 Jun 2015 1 repository listed
  Single image haze removal has been a challenging problem due to its ill-posed nature.