该工具箱可以用来生成多聚焦图像融合的数据集以及差分图,参考文章见:
https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ipr2.12383
开源的代码中:
mainwindows.py为初始运行窗体,为各个功能提供窗体点击事件;
scrip/get_diffimage.py为求差分图的python脚本;
scrip/create_dataset.py为生成数据集的python脚本;
scrip/cut_imagetocompare.py为生成论文中展示图像的python脚本。
python 3.6
pyqt5
numpy 1.16.2
opencv-python 4.5.1.48
pandas 1.1.5
如果使用该代码,请引用:
@article{wang2022two, title={Two-stage progressive residual learning network for multi-focus image fusion}, author={Wang, Haoran and Hua, Zhen and Li, Jinjiang}, journal={IET Image Processing}, volume={16}, number={3}, pages={772--786}, year={2022}, publisher={Wiley Online Library} }