mlsanityData to 14 Oct 2026

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning

arXiv 2106.03323 ↗First posted 7 Jun 2021cs.CV cs.LGcited by 19

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Abstract (arXiv)

With the development of convolutional neural networks, hundreds of deep learning based dehazing methods have been proposed. In this paper, we provide a comprehensive survey on supervised, semi-supervised, and unsupervised single image dehazing. We first discuss the physical model, datasets, network modules, loss functions, and evaluation metrics that are commonly used. Then, the main contributions of various dehazing algorithms are categorized and summarized. Further, quantitative and qualitative experiments of various baseline methods are carried out. Finally, the unsolved issues and challenges that can inspire the future research are pointed out. A collection of useful dehazing materials is available at urlhttps://github.com/Xiaofeng-life/AwesomeDehazing.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Builds on 50 of its 192 references that are in the map. First posted on arXiv 7 Jun 2021.

Builds on

50 of 192 references.

References · 50

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  4. 2016Densely Connected Convolutional Networkscited by 6,720
  5. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  6. 2014Going Deeper with Convolutionscited by 4,241
  7. 2020Supervised Contrastive Learningcited by 2,829
  8. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
  9. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,908
  10. 2020Knowledge Distillation: A Surveycited by 1,603
  11. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,254
  12. 2017Benchmarking Single Image Dehazing and Beyondcited by 447
38 more
  1. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 314
  2. 2019FFA-Net: Feature Fusion Attention Network for Single Image Dehazingcited by 307
  3. 2020Multi-Scale Boosted Dehazing Network with Dense Feature Fusioncited by 230
  4. 2019GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazingcited by 227
  5. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
  6. 2020A Review on Generative Adversarial Networks: Algorithms, Theory, and Applicationscited by 209
  7. 2019Distilling Object Detectors with Fine-grained Feature Imitationcited by 189
  8. 2019Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentationcited by 151
  9. 2018Densely Connected Pyramid Dehazing Networkcited by 145
  10. 2018Gated Fusion Network for Single Image Dehazingcited by 133
  11. 2018"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priorscited by 114
  12. 2020NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Imagescited by 108
  13. 2020Domain Adaptation for Image Dehazingcited by 108
  14. 2019Dense Haze: A benchmark for image dehazing with dense-haze and haze-free imagescited by 107
  15. 2018Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understandingcited by 98
  16. 2018O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor imagescited by 95
  17. 2018Gated Context Aggregation Network for Image Dehazing and Derainingcited by 89
  18. 2020FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazingcited by 80
  19. 2018Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazingcited by 79
  20. 2018I-HAZE: a dehazing benchmark with real hazy and haze-free indoor imagescited by 64
  21. 2020You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Networkcited by 58
  22. 2020Nighttime Dehazing with a Synthetic Benchmarkcited by 41
  23. 2021DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazingcited by 38
  24. 2020NTIRE 2020 Challenge on NonHomogeneous Dehazingcited by 31
  25. 2018Unsupervised Single Image Dehazing Using Dark Channel Prior Losscited by 30
  26. 2018Does Haze Removal Help CNN-based Image Classification?cited by 20
  27. 2016Haze Visibility Enhancement: A Survey and Quantitative Benchmarkingcited by 17
  28. 2021Towards Domain Invariant Single Image Dehazingcited by 17
  29. 2017Joint Transmission Map Estimation and Dehazing using Deep Networkscited by 16
  30. 2017Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyondcited by 16
  31. 2021A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learningcited by 16
  32. 2019End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networkscited by 15
  33. 2020Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazingcited by 15
  34. 2020Y-net: Multi-scale feature aggregation network with wavelet structure similarity loss function for single image dehazingcited by 14
  35. 2019FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Networkcited by 13
  36. 2017On the Duality Between Retinex and Image Dehazingcited by 10
  37. 2019Feature Forwarding for Efficient Single Image Dehazingcited by 7
  38. 2020Single image dehazing for a variety of haze scenarios using back projected pyramid networkcited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 7; 2024: 4; 2025: 6; 2026: 1.

19 papers.

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  1. 2023Mutual Information-driven Triple Interaction Network for Efficient Image Dehazingcited by 18
  2. 2022Restoring Vision in Hazy Weather with Hierarchical Contrastive Learningcited by 17
  3. 2023Learning from History: Task-agnostic Model Contrastive Learning for Image Restorationcited by 11
  4. 2024A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learningcited by 9
  5. 2023Illumination Controllable Dehazing Network based on Unsupervised Retinex Embeddingcited by 7
  6. 2025DSwinIR: Rethinking Window-based Attention for Image Restorationcited by 7
  7. 2025Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restorationcited by 6
  8. 2023Dehazing-NeRF: Neural Radiance Fields from Hazy Imagescited by 4
  9. 2024HazeSpace2M: A Dataset for Haze Aware Single Image Dehazingcited by 4
  10. 2023Fooling the Image Dehazing Models by First Order Gradientcited by 3
  11. 2023Toward Flare-Free Images: A Surveycited by 1
  12. 2024PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazingcited by 1
7 more
  1. 2023Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazingcited by 0
  2. 2024Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselinescited by 0
  3. 2025Dual-Stage Global and Local Feature Framework for Image Dehazingcited by 0
  4. 2025Satellite Image Utilization for Dehazing with Swin Transformer-Hybrid U-Net and Watershed losscited by 0
  5. 2025SPICE: Simple and Practical Image Clarification and Enhancementcited by 0
  6. 2025From Events to Clarity: The Event-Guided Diffusion Framework for Dehazingcited by 0
  7. 2026HazeSpikeMamba: Coupling Spiking-Inspired and State-Space Features for Self-Supervised Real-World Dehazingcited by 0