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Fast Underwater Image Enhancement for Improved Visual Perception

arXiv 1903.09766 ↗First posted 23 Mar 2019cs.CVcited by 181

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Abstract (arXiv)

In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on its global content, color, local texture, and style information. We also present EUVP, a large-scale dataset of a paired and unpaired collection of underwater images (of `poor' and `good' quality) that are captured using seven different cameras over various visibility conditions during oceanic explorations and human-robot collaborative experiments. In addition, we perform several qualitative and quantitative evaluations which suggest that the proposed model can learn to enhance underwater image quality from both paired and unpaired training. More importantly, the enhanced images provide improved performances of standard models for underwater object detection, human pose estimation, and saliency prediction. These results validate that it is suitable for real-time preprocessing in the autonomy pipeline by visually-guided underwater robots. The model and associated training pipelines are available at https://github.com/xahidbuffon/funie-gan.

Key facts. Cited by 181 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Mar 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 20; 2023: 37; 2024: 35; 2025: 47; 2026: 30.

181 papers.

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  1. 2021U-shape Transformer for Underwater Image Enhancementcited by 110
  2. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 98
  3. 2023Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restorationcited by 86
  4. 2023Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Modelcited by 69
  5. 2023Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bankcited by 68
  6. 2023PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminatorscited by 49
  7. 2023Neural Preset for Color Style Transfercited by 36
  8. 2021Shallow-UWnet : Compressed Model for Underwater Image Enhancementcited by 35
  9. 2021Domain Adaptation for Underwater Image Enhancementcited by 35
  10. 2024SeaSplat: Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Modelcited by 35
  11. 2022SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perceptioncited by 32
  12. 2023Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategycited by 32
38 more
  1. 2022WaterNeRF: Neural Radiance Fields for Underwater Scenescited by 28
  2. 2022UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robotscited by 27
  3. 2025Visual-Instructed Degradation Diffusion for All-in-One Image Restorationcited by 26
  4. 2024Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image Enhancementcited by 24
  5. 2021Wavelength-based Attributed Deep Neural Network for Underwater Image Restorationcited by 23
  6. 2023SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Imagescited by 23
  7. 2022Underwater Light Field Retention : Neural Rendering for Underwater Imagingcited by 22
  8. 2023Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancementcited by 22
  9. 2025UniUIR: Considering Underwater Image Restoration as An All-in-One Learnercited by 20
  10. 2023Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagerycited by 19
  11. 2024UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancementcited by 17
  12. 2025Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysiscited by 16
  13. 2021Underwater Image Restoration via Contrastive Learning and a Real-world Datasetcited by 15
  14. 2023A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancementcited by 15
  15. 2024Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyondcited by 15
  16. 2024Underwater Image Restoration via Polymorphic Large Kernel CNNscited by 14
  17. 2025Hybrid Agents for Image Restorationcited by 14
  18. 2024Osmosis: RGBD Diffusion Prior for Underwater Image Restorationcited by 13
  19. 2025MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devicescited by 12
  20. 2021Single Underwater Image Restoration by Contrastive Learningcited by 11
  21. 2023Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancementcited by 11
  22. 2023Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancementcited by 10
  23. 2022Domain Adaptation for Underwater Image Enhancement via Content and Style Separationcited by 9
  24. 2022Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detectioncited by 9
  25. 2023UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformercited by 9
  26. 2024A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learningcited by 9
  27. 2024O-Mamba: O-shape State-Space Model for Underwater Image Enhancementcited by 9
  28. 2025AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditionscited by 9
  29. 2021LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancementcited by 8
  30. 2024FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encodercited by 8
  31. 2024A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimationcited by 8
  32. 2021HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restorationcited by 7
  33. 2022Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancementcited by 7
  34. 2023The Perception-Robustness Tradeoff in Deterministic Image Restorationcited by 7
  35. 2023MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibilitycited by 7
  36. 2024Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifiercited by 7
  37. 2024Underwater Image Enhancement with Cascaded Contrastive Learningcited by 7
  38. 2025AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysiscited by 7

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