indigopurple / sasa

The implementation of the paper "SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging"

SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging (ICASSP'2024)

In this repository we provide code of the paper:

SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging

Yaping Zhao, Edmund Y. Lam

arxiv link: https://arxiv.org/abs/2401.00875

Requirements

For pre-requisites, run:

conda env create -f environment.yml
conda activate sasa

Testing datasets

Testing datasets are provided in the dataset/ folder.

Therefore, you can quickly get started without additional downloads required.

Usage

To reproduce the main results from our paper, simply run:

python sasa.py

Citation

Cite our paper if you find it interesting!

@inproceedings{zhao2024sasa,
  title={{SASA}: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging},
  author={Zhao, Yaping and Lam, Edmund Y},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2024}
}

@article{zhao2022mathematical,
  title={Mathematical Cookbook for Snapshot Compressive Imaging},
  author={Zhao, Yaping},
  journal={arXiv preprint arXiv:2202.07437},
  year={2022}
}