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This package contains the source code which is associated with the following paper:
[1] Kecheng Zheng, Juan Cheng, Yu Liu*, CCSR-Net: Unfolding coupled convolutional sparse representation for multi-focus image fusion, 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xiamen, China, Oct 13-15, 2023, pp 285–297. The extended version is submitted to a journal for publication.
Edited by Kecheng Zheng and Yu Liu.
Usage of this code is free for research purposes only.
Please refer to the above publication if you use this code.
Thank you.
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Requirements:
- CUDA 10
- Python 3.7
- Torch 1.8.1
- Torchvison 0.9.1
- numpy 1.21.5
- matplotlib 3.5.1
- pandas 1.0.5
- kornia 0.6.12
Run: Test_CCSR.py (the method proposed in the conference paper) Test_MCCSR.py (the method extended from CCSR in the journal paper)
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Contact:
Don't hesitate to contact me if you meet any problems when using this code.
Yu Liu
Department of Biomedical Engineering
Hefei University of Technology
Email: yuliu@hfut.edu.cn; lyuxxz@163.com
Homepage: https://sites.google.com/site/yuliu316316; https://github.com/yuliu316316
Last update: 16-April-2024