Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
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Cited by 21 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Underwater images are subject to intricate and diverse degradation, inevitably affecting the effectiveness of underwater visual tasks. However, most approaches primarily operate in the raw pixel space of images, which limits the exploration of the frequency characteristics of underwater images, leading to an inadequate utilization of deep models' representational capabilities in producing high-quality images. In this paper, we introduce a novel Underwater Image Enhancement (UIE) framework, named WF-Diff, designed to fully leverage the characteristics of frequency domain information and diffusion models. WF-Diff consists of two detachable networks: Wavelet-based Fourier information interaction network (WFI2-net) and Frequency Residual Diffusion Adjustment Module (FRDAM). With our full exploration of the frequency domain information, WFI2-net aims to achieve preliminary enhancement of frequency information in the wavelet space. Our proposed FRDAM can further refine the high- and low-frequency information of the initial enhanced images, which can be viewed as a plug-and-play universal module to adjust the detail of the underwater images. With the above techniques, our algorithm can show SOTA performance on real-world underwater image datasets, and achieves competitive performance in visual quality.
Key facts. Cited by 86 papers in the map (data through 7 Oct 2026). Builds on 28 of its 51 references that are in the map. First posted on arXiv 28 Nov 2023.
Builds on
28 of 51 references.
References · 28
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
- 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 634
- 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 574
- 2019An Underwater Image Enhancement Benchmark Dataset and Beyondcited by 250
- 2021Deblurring via Stochastic Refinementcited by 248
- 2023TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Compositioncited by 182
16 more
- 2019Fast Underwater Image Enhancement for Improved Visual Perceptioncited by 181
- 2021Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embeddingcited by 133
- 2023Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Modelcited by 118
- 2017WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Imagescited by 112
- 2018Enhancing Underwater Imagery using Generative Adversarial Networkscited by 94
- 2023Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bankcited by 68
- 2023Pyramid Diffusion Models For Low-light Image Enhancementcited by 67
- 2023DocDiff: Document Enhancement via Residual Diffusion Modelscited by 37
- 2021UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Spacecited by 34
- 2023Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategycited by 32
- 2019All-In-One Underwater Image Enhancement using Domain-Adversarial Learningcited by 29
- 2023Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancementcited by 27
- 2018Deep Underwater Image Enhancementcited by 24
- 2022A Wavelet-based Dual-stream Network for Underwater Image Enhancementcited by 16
- 2021Underwater Image Enhancement via Learning Water Type Desensitized Representationscited by 9
- 2019Real-Time Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaborationcited by 6
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Citing papers per year: 2023: 1; 2024: 19; 2025: 39; 2026: 27.
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