mlsanityData to 7 Oct 2026

Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement

arXiv 2203.01296 ↗First posted 2 Mar 2022eess.IV cs.AI cs.CVcited by 20

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Abstract (arXiv)

Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness. It can also be seen as an ill-posed problem in image restoration domain. With the success of deep neural networks, the convolutional neural networks surpass the traditional algorithm-based methods and become the mainstream in the computer vision area. To advance the performance of enhancement algorithms, we propose an image enhancement network (HWMNet) based on an improved hierarchical model: M-Net+. Specifically, we use a half wavelet attention block on M-Net+ to enrich the features from wavelet domain. Furthermore, our HWMNet has competitive performance results on two image enhancement datasets in terms of quantitative metrics and visual quality. The source code and pretrained model are available at https://github.com/FanChiMao/HWMNet.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 16 of its 41 references that are in the map. First posted on arXiv 2 Mar 2022.

Builds on

16 of 41 references.

References · 16

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2017Squeeze-and-Excitation Networkscited by 4,763
  4. 2018Residual Dense Network for Image Super-Resolutioncited by 796
  5. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 720
  6. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 541
  7. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  8. 2020Learning Enriched Features for Real Image Restoration and Enhancementcited by 311
  9. 2020Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancementcited by 303
  10. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 236
  11. 2020CycleISP: Real Image Restoration via Improved Data Synthesiscited by 212
  12. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
4 more
  1. 2021Low-Light Image Enhancement with Normalizing Flowcited by 184
  2. 2021Low-Light Image and Video Enhancement Using Deep Learning: A Surveycited by 148
  3. 2018Distort-and-Recover: Color Enhancement using Deep Reinforcement Learningcited by 52
  4. 2018FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networkscited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 7; 2024: 8; 2025: 2; 2026: 2.

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  1. 2023Pyramid Diffusion Models For Low-light Image Enhancementcited by 67
  2. 2023Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancementcited by 57
  3. 2023CLE Diffusion: Controllable Light Enhancement Diffusion Modelcited by 30
  4. 2024Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representationscited by 21
  5. 2023LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusioncited by 15
  6. 2025TSCnet: A Text-driven Semantic-level Controllable Framework for Customized Low-Light Image Enhancementcited by 9
  7. 2025PromptLNet: Region-Adaptive Aesthetic Enhancement via Prompt Guidance in Low-Light Enhancement Netcited by 8
  8. 2024Specularity Factorization for Low-Light Enhancementcited by 6
  9. 2024Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancementcited by 6
  10. 2023SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Devicecited by 5
  11. 2023Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancementcited by 5
  12. 2023Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domainscited by 4
8 more
  1. 2022Priors in Deep Image Restoration and Enhancement: A Surveycited by 3
  2. 2024Multi-scale Conditional Generative Modeling for Microscopic Image Restorationcited by 2
  3. 2024Leveraging Content and Context Cues for Low-Light Image Enhancementcited by 2
  4. 2024CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancementcited by 1
  5. 2024ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancementcited by 0
  6. 2024Latent Disentanglement for Low Light Image Enhancementcited by 0
  7. 2026Row-Column Separated Attention Based Low-Light Image/Video Enhancementcited by 0
  8. 2026High-Quality Exposure Correction with Diffusion-Based Image Generation Priorscited by 0