Spectral image reconstrution for compressive spectral imaging using smoothness on graphs

This repository contains both real and simulated datasets to test the methods and reproduce the results of our paper:

1. Block-based spectral image reconstruction using smoothness on graphs.

Python implementations of reconstruction methods and usage examples are still being refined so please check constantly for updates.

Citation

The datasets are available for non-commercial research use. If you use our datasets in an academic publication, kindly cite the following paper:

@article{florez2022block,
  title={Block-based spectral image reconstruction for compressive spectral imaging using smoothness on graphs},
  author={Florez-Ospina, Juan F and Alrushud, Abdullah KM and Lau, Daniel L and Arce, Gonzalo R},
  journal={Optics Express},
  volume={30},
  number={5},
  pages={7187--7209},
  year={2022},
  publisher={Optica Publishing Group}
}