This repository contains the implementation of our paper: "Real-World Nighttime Image Dehazing via Bayesian-Based Fractional-Order Variational Model".

Yun Liu¹, Tao Li¹, Zichen Zhou², Wenqi Ren³, Weisi Lin⁴

1. College of Artificial Intelligence, Southwest University, Chongqing, China
2. China University of Petroleum, China
3. School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China
4. College of Computing and Data Science, Nanyang Technological University (NTU), Singapore

The following flowchart illustrates the proposed method for nighttime image dehazing:

• MATLAB (Tested on R2021a or later)

1. Place your hazy nighttime images in the input/ folder.
2. Run the demo.m script:

   demo

3. The processed images will be saved in the output/ folder.

If you find this work useful for your research, please cite our paper:

@article{Liu2026RealWorldNighttime,
  title={Real-World Nighttime Image Dehazing via Bayesian-Based Fractional-Order Variational Model},
  author={Liu, Yun and Li, Tao and Zhou, Zichen and Ren, Wenqi and Lin, Weisi},
  journal={},
  year={2026}
}