This is the official repository for the paper "Real-World Nighttime Dehazing via Score-Guided Multi-Scale Fusion and Dual-Channel Enhancement".

1. Place your test images in the input_images folder
2. Run the smfde_demo.m file in MATLAB
3. The dehazing results will be generated in the output_images folder

% Simply run the demo script
smfde_demo

SMFDE/
├── input_images/          # Place your test images here
├── output_images/         # Dehazing results will be saved here
├── smfde_demo.m          # Main demo script
├── *.p                   # Compiled MATLAB functions
└── README.md             # This file

• MATLAB R2021b
• NSST Toolbox (for image processing)
• Support Function

The core algorithms are provided as compiled .p files to protect the intellectual property while allowing users to reproduce the results presented in the paper.

If you use this code in your research, please cite our paper:

@article{li2026real,
  title={Real-World Nighttime Dehazing via Score-Guided Multi-Scale Fusion and Dual-Channel Enhancement},
  author={Li, Tao and Liu, Yun and Luo, Shirui and Ren, Wenqi and Lin, Weisi},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2026},
  volume={36},
  number={3},
  pages={3306-3319},
}

For any questions or issues, please contact: lt3088919588@email.swu.edu.cn