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# Deep Compressive Object Decoder (DCOD) | ||
Reconstruction of in-line holograms merely with a single image. | ||
Reconstruct in-line holograms merely with a single image. In the proposed model, a regularized untrained deep neural network inversely generates and optimizes the object field based on the acquired hologram. | ||
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All experiments can be found in the **DCOD_Implementation.ipynb** | ||
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## Requirements | ||
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To make the workflow expandable and easy to implement, holographic reconstruction algorithms and data processing tools are encapsulated in a python package named ***Fringe*** (https://github.com/farhadnkm/Fringe.Py). | ||
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To install this package, run: | ||
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``` | ||
pip install fringe | ||
``` | ||
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This project also requires ***tensorflow-addons***. | ||
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## Notice: | ||
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If you are getting error on hologram import due to LWZ compression, do the following: | ||
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``` | ||
pip uninstall tifffile | ||
pip install imagecodecs imagecodecs-lite | ||
pip install tifffile | ||
``` |