Learning to Sense for Coded Diffraction Imaging

This repository is the official implementation of our paper: Learning to Sense for Coded Diffraction Imaging

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Latest commit rakibhyder Add files via upload Dec 12, 2022 ee615e4 · Dec 12, 2022 History 3 Commits
data	data	Add files via upload	Dec 12, 2022
masks	masks	Add files via upload	Dec 12, 2022
4.2 Comparison between random and learned illumination patterns.ipynb	4.2 Comparison between random and learned illumination patterns.ipynb	Add files via upload	Dec 12, 2022
4.3 Effect of number of iterations.ipynb	4.3 Effect of number of iterations.ipynb	Add files via upload	Dec 12, 2022
4.4 Generalization of learned patterns on different datasets.ipynb	4.4 Generalization of learned patterns on different datasets.ipynb	Add files via upload	Dec 12, 2022
4.5 Robustness to noise.ipynb	4.5 Robustness to noise.ipynb	Add files via upload	Dec 12, 2022
CDP_test_diff_K_real.py	CDP_test_diff_K_real.py	Add files via upload	Dec 12, 2022
CDP_test_real.py	CDP_test_real.py	Add files via upload	Dec 12, 2022
CDP_test_real_noisy.py	CDP_test_real_noisy.py	Add files via upload	Dec 12, 2022
CDP_train_real.py	CDP_train_real.py	Add files via upload	Dec 12, 2022
README.md	README.md	Update README.md	Dec 12, 2022
dataset.py	dataset.py	Add files via upload	Dec 12, 2022
requirements.txt	requirements.txt	Add files via upload	Dec 12, 2022
test.ipynb	test.ipynb	Add files via upload	Dec 12, 2022
train.ipynb	train.ipynb	Add files via upload	Dec 12, 2022
utils.py	utils.py	Add files via upload	Dec 12, 2022

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