mf-CNNCRF: A Convolutional Neural Network-Based Conditional Random Field Model for Structured Multi-Focus Image Fusion Robust to Noise

Includes the code for the method mf-CNNCRF of the paper:

https://ieeexplore.ieee.org/document/10129238

O. Bouzos, I. Andreadis and N. Mitianoudis, "A Convolutional Neural Network-Based Conditional Random Field Model for Structured Multi-Focus Image Fusion Robust to Noise," in IEEE Transactions on Image Processing, vol. 32, pp. 2915-2930, 2023, doi: 10.1109/TIP.2023.3276330.

Citation:

If you find this code useful in your research, please consider citing with the following Bibtex code:

@article{mfCNNCRF,
  author={Bouzos, Odysseas and Andreadis, Ioannis and Mitianoudis, Nikolaos},
  journal={IEEE Transactions on Image Processing}, 
  title={A Convolutional Neural Network-Based Conditional Random Field Model for Structured Multi-Focus Image Fusion Robust to Noise}, 
  year={2023},
  volume={32},
  number={},
  pages={2915-2930},
  keywords={Transforms;Convolutional neural networks;Deep learning;Image fusion;Noise measurement;Sensitivity;Estimation;Convolutional neural network;conditional random field (CRF);multi-focus image fusion;energy minimization},
  doi={10.1109/TIP.2023.3276330}}