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Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

Contains a MATLAB implementation for our paper. If you find this code useful in your research, please consider citing:

@article{baldwin2020event,
  title={Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras},
  author={Baldwin, R and Almatrafi, Mohammed and Asari, Vijayan and Hirakawa, Keigo},
  journal={arXiv preprint arXiv:2003.08282},
  year={2020}
}

This code was tested on an Ubuntu 18.04 system (i7-8700 CPU, 64GB RAM, and GeForce RTX 2080Ti GPU) running MATLAB 2019b. Matlab's image processing and computer vision toolboxes are required.

Missing Image

DVSNOISE20 Dataset (optional)

To download the dataset use: dvsnoise20.

Reading AEDAT data into MATLAB (optional)

To read AEDAT (jAER) data into MATLAB use: AedatTools or AedatTools Alt.

Reading AEDAT4 data into MATLAB (optional)

To read AEDAT4 (DV) data into MATLAB use: aedat4tomat.