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DDBFusion

The official implementation of “DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and Bézier curves”.

Information Fusion 2025.

Framework Network

🚀 Usage Guidelines

Note: Our method converts input image pairs into grayscale for the decomposition and fusion process.

1. Grayscale Image Fusion

To generate fusion results for grayscale images:

python fuse_gray.py

2. Multi-Exposure & Multi-Focus Fusion (Color)

python fuse_rgb.py

3. Medical Image Fusion (Color)

python fuse_medical.py

📂 Results: You can download the fusion results of DDBFusion from the link below: Download Results (Google Drive)

📝 Citation If you find this work helpful for your research, please consider citing our paper:

@article{zhang2025ddbfusion,
  title={DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and B{\'e}zier curves},
  author={Zhang, Zeyang and Li, Hui and Xu, Tianyang and Wu, Xiao-Jun and Kittler, Josef},
  journal={Information Fusion},
  volume={114},
  pages={102655},
  year={2025},
  publisher={Elsevier}
}

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The official implementation of “DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and B ́ezier curves.“ Information Fusion 2025

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