mlsanityData to 7 Oct 2026

DehazeNet: An End-to-End System for Single Image Haze Removal

arXiv 1601.07661 ↗First posted 28 Jan 2016cs.CVcited by 313

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Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible dehazing solutions. The key to achieve haze removal is to estimate a medium transmission map for an input hazy image. In this paper, we propose a trainable end-to-end system called DehazeNet, for medium transmission estimation. DehazeNet takes a hazy image as input, and outputs its medium transmission map that is subsequently used to recover a haze-free image via atmospheric scattering model. DehazeNet adopts Convolutional Neural Networks (CNN) based deep architecture, whose layers are specially designed to embody the established assumptions/priors in image dehazing. Specifically, layers of Maxout units are used for feature extraction, which can generate almost all haze-relevant features. We also propose a novel nonlinear activation function in DehazeNet, called Bilateral Rectified Linear Unit (BReLU), which is able to improve the quality of recovered haze-free image. We establish connections between components of the proposed DehazeNet and those used in existing methods. Experiments on benchmark images show that DehazeNet achieves superior performance over existing methods, yet keeps efficient and easy to use.

Key facts. Cited by 313 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jan 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 44; 2022: 44; 2023: 52; 2024: 62; 2025: 71; 2026: 40.

313 papers.

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  1. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  2. 2022Vision Transformers for Single Image Dehazingcited by 255
  3. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 243
  4. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
  5. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  6. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 139
  7. 2023PromptIR: Prompting for All-in-One Blind Image Restorationcited by 113
  8. 2024AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulationcited by 108
  9. 2024OneRestore: A Universal Restoration Framework for Composite Degradationcited by 91
  10. 2023DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attentioncited by 90
  11. 2023Curricular Contrastive Regularization for Physics-aware Single Image Dehazingcited by 83
  12. 2021Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priorscited by 82
38 more
  1. 2023MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazingcited by 81
  2. 2023RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priorscited by 73
  3. 2024Complexity Experts are Task-Discriminative Learners for Any Image Restorationcited by 72
  4. 2021From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Datacited by 68
  5. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  6. 2024Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restorationcited by 60
  7. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 58
  8. 2024FreqMamba: Viewing Mamba from a Frequency Perspective for Image Derainingcited by 57
  9. 2023A Comparative Study of Image Restoration Networks for General Backbone Network Designcited by 56
  10. 2023Neural Degradation Representation Learning for All-In-One Image Restorationcited by 46
  11. 2024U-shaped Vision Mamba for Single Image Dehazingcited by 40
  12. 2023Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolutioncited by 39
  13. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 39
  14. 2025Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networkscited by 37
  15. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  16. 2024Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazingcited by 32
  17. 2021Perceiving and Modeling Density is All You Need for Image Dehazingcited by 30
  18. 2022Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removalcited by 28
  19. 2022DRT: A Lightweight Single Image Deraining Recursive Transformercited by 26
  20. 2023SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistencycited by 24
  21. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  22. 2025Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazingcited by 23
  23. 2023Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Priorcited by 22
  24. 2024NightHaze: Nighttime Image Dehazing via Self-Prior Learningcited by 22
  25. 2022Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learningcited by 21
  26. 2021Discovering Distinctive "Semantics" in Super-Resolution Networkscited by 20
  27. 2022An Annotation-free Restoration Network for Cataractous Fundus Imagescited by 20
  28. 2021A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learningcited by 19
  29. 2023NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformercited by 19
  30. 2023MixDehazeNet : Mix Structure Block For Image Dehazing Networkcited by 18
  31. 2023Mutual Information-driven Triple Interaction Network for Efficient Image Dehazingcited by 18
  32. 2021Towards Domain Invariant Single Image Dehazingcited by 17
  33. 2022Source-Free Domain Adaptation for Real-world Image Dehazingcited by 17
  34. 2022Restoring Vision in Hazy Weather with Hierarchical Contrastive Learningcited by 17
  35. 2023Frequency Compensated Diffusion Model for Real-scene Dehazingcited by 17
  36. 2023Test-Time Degradation Adaptation for Open-Set Image Restorationcited by 17
  37. 2025I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactionscited by 17
  38. 2021A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learningcited by 16

50 most cited of 313 All 313 (JSON)