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The network codes for manuscript "LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network".

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LSHR-Net

The code of network structure and related unitily operation for manuscript "LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network".

The training codes and network structure code are given. Please feel free to create an issue if you have any questions.

TODOs

  • Uploading the code
  • Upload the training dataset
  • Tidy up the comments and irrelevant experiment code
  • Rewriting the test code

If you compare your algorithm with this work, please use the following citation bib.

@article{BAI2020,
title = "LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network",
journal = "Neurocomputing",
year = "2020",
issn = "0925-2312",
doi = "https://doi.org/10.1016/j.neucom.2020.04.010",
url = "http://www.sciencedirect.com/science/article/pii/S0925231220305713",
author = "Fangliang Bai and Jinchao Liu and Xiaojuan Liu and Margarita Osadchy and Chao Wang and Stuart J. Gibson",
keywords = "Single pixel camera, Computational imaging, Neural network, Image reconstruction, Super resolution, Binary weights",
}

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The network codes for manuscript "LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network".

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