Awesome-Nighttime-Enhancement

Collection of recent nighttime enhancement low-level works, including datasets, papers, codes and metrics.

1. Nighttime Light-Effects Suppression

1.1 Dataset

• [Light-effects data]
  

1.2 Unsupervised-Deep-Learning

• ECCV2022 Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
  Yeying Jin, Wenhan Yang and Robby T. Tan
  [Paper] [Code]

1.3 Semi-Supervised-Deep-Learning

• CVPR2021 Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects
  Aashish Sharma and Robby T. Tan
  [Paper][Light-effects data]

1.4 Zero-Shot-Deep-Learning

• IJCAI2022 From Generation to Suppression: Towards Effective Irregular glow suppression for Nighttime Visibility Enhancement [Paper]

2. Nighttime Dehazing/Defogging

2.1 Dataset

• [GTA5 Nighttime Fog Data]
  

2.2 Semi-Supervised-Deep-Learning

• ACMMM2023 Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution
  Yeying Jin*, Beibei Lin*, Wending Yan, Wei Ye, Yuan Yuan and Robby T. Tan
  [Paper] [Code]

• ACMMM2023 NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer [Paper]

• ECCV2020 Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks
  Wending Yan, Robby T. Tan and Dengxin Dai
  [Paper]

2.3 Supervised-Deep-Learning

• VisualComputer,2022 Multi-path Dilated Convolution Network for Haze and Glow Removal in Nighttime Images
• ACMMM2020 Nighttime Dehazing with a Synthetic Benchmark [Code]
• Arxiv2019 Night Time Haze and Glow Removal using Deep Dilated Convolutional Network
• PCM2018 HDP-Net: Haze Density Prediction Network for Nighttime Dehazing [Code]

2.4 Traditional

• TCSVT2022 Multi-purpose Oriented Single Nighttime Image Haze Removal based on Unified Variational Retinex Model
• Engineering Applications of AI,2022 Single Nighttime Image Dehazing based on Unified Variational Decomposition Model and Multi-scale Contrast Enhancement
• TIP2022 Variational Single Nighttime Image Haze Removal With a Gray Haze-Line Prior
• CVPRW2022 Nighttime Image Dehazing Based on Variational Decomposition Model
• Multimedia Tools and Applications,2022 Joint Dehazing and Denoising for Single Nighttime Image via Multi-scale Decomposition
• CVIU2021 Nighttime Image Dehazing Based on Retinex and Dark Channel Prior using Taylor Series Expansion
• Signal Processing,2021 Single Nighttime Image Dehazing based on Image Decomposition
• TIP2020 Day and Night-time Dehazing by Local Airlight Estimation
• IEEE Access,2020 Integrating Haze Density Features for Fast Nighttime Image Dehazing
• IEEE Access,2019 Nighttime Single Image Dehazing via Pixel-Wise Alpha Blending [Code]
• IEEE Access,2019 A Unified Variational Model for Single Image Dehazing
• CVPR2017 Fast Haze Removal for Nighttime Image using Maximum Reflectance Prior [Code]
• CVPR2017 Night-time Dehazing by Fusion
• ICCV2015 Nighttime Haze Removal with Glow and Multiple Light Colors [Paper] [Code]
  Yu Li, Robby T. Tan, and Michael S. Brown
• ICIP2014 Nighttime Haze Removal Based on a New Imaging Model [Code]
• ICIP2012 Nighttime Haze Removal using Color Transfer Pre-processing and Dark Channel Prior

Survey

• Archives of Computational Methods in Engineering,2021 Nighttime Image‑Dehazing: A Review and Quantitative Benchmarking

3. Nighttime Ghost and Flare Removal

• CVPR2023 Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
  Yuekun Dai, Yihang Luo, Shangchen Zhou, Chongyi Li, and Chen Change Loy
  [Paper] [Code]

• NeurIPS Dataset 2022 Flare7K: A Phenomenological Nighttime Flare Removal Dataset
  Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy
  [Paper] [Code]

• arXiv2023 Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
  Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yihang Luo, and Chen Change Loy
  [Paper] [Code]

• ISCAS2023 Removing Image Artifacts From Scratched Lens Protectors
  [Paper] [Code]

4. Nighttime Deraining

• AAAI2024 NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
  Beibei Lin*, Yeying Jin*, Wending Yan, Wei Ye, Yuan Yuan, Sunli Zhang, Robby T. Tan