/imagefusion_deeplearning

Infrared and visible image fusion using deep learning framework(ICPR 2018, Beijing)

Primary LanguageMATLAB

Infrared and Visible Image Fusion using a Deep Learning Framework

International Conference of Pattern Recognition 2018(Accepted)

Li H, Wu X J, Kittler J. Infrared and Visible Image Fusion using a Deep Learning Framework[C]//Pattern Recognition (ICPR), 2018 24rd International Conference on. IEEE, 2018: 2705 - 2710.

Requirements

You will need the following tools to run this codes:

If you have any question about this code, feel free to reach me(hui_li_jnu@163.com, lihui@stu.jiangnan.edu.cn)

Fusion method

Fusion detail content

Multi-layers fusion strategy

Quality metric - Nabf

Nabf - 'B. K. Shreyamsha Kumar. Multifocus and Multispectral Image Fusion based on Pixel Significance using Discrete Cosine Harmonic Wavelet Transform. Signal, Image and Video Processing, 2012.'

Pytorch version

For reference only

https://github.com/GrimReaperSam/imagefusion_pytorch

Citation

For paper:

Li H, Wu X J, Kittler J. Infrared and Visible Image Fusion using a Deep Learning Framework[C]//Pattern Recognition (ICPR), 2018 24rd International Conference on. IEEE, 2018: 2705 - 2710.

For code:

@misc{li2018IVimagefusion_deeplearning,
    author = {Hui Li},
    title = {CODE: Infrared and Visible Image Fusion using a Deep Learning Framework},
    year = {2017},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/hli1221/imagefusion_deeplearning}}
  }