Neuromorphic Imaging with Density-Based Spatiotemporal Denoising

@article{zhang2023tci,
  title   = {Neuromorphic Imaging with Density-Based Spatiotemporal Denoising},
  author  = {Pei Zhang and Zhou Ge and Li Song and Edmund Y. Lam},
  journal = {IEEE Transactions on Computational Imaging},
  volume  = {9}, pages = {530--541},
  year    = {2023},
  doi     = {10.1109/TCI.2023.3281202}
}

Implementation

Run the denoising demo on a directory of event files:

python main.py --data-dir /path/to/input_dir --output-dir /path/to/output_dir

This processes .mat and .bin files in the input directory, saves visual comparison results, and writes one denoised .mat file for each sample.

Sample

Download our samples for verification and further research.