The code in Python is for the paper:
Zhenbo Ren, Zhimin Xu, and Edmund Y. Lam, “End-to-end deep learning framework for digital holographic reconstruction,” Advanced Photonics, vol. 1, no. 1, pp. 016004, January 2019. doi:10.1117/1.AP.1.1.016004
Feel free to let me know if you have any problems at thomas0708renATgmail.com.
The code provided here is to train a network for amplitude reconstruction in digital holographic imaging. It was originally run and tested in Jupyter Notebook. For a generalized utilization to the public, the code is given in Python format and for CPU use. Also, for demonstration purposes, adequate minor revisions are made in the code.
Modules that the code depends on are given in the first functional block.