code

The full codebase for the paper ``L0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion" is available at FNet-MMIF

Dependencies

• Python 3.9
• PyTorch 2.0.1
• NVIDIA GPU + CUDA (https://developer.nvidia.com/cuda-downloads)

Create environment and install packages

• conda create -n git python=3.9
• conda activate git
• pip install -r requirements.txt

Testing

• test datasets in location test_img.

• Test the MI, VIF, Qabf, SSIM metrics on the six test sets python test.py

• The output images are in results/.