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Analysis Framework for Computational Imaging Systems
The dataset used in this paper is a comprehensive analysis framework for Computational Imaging systems, including signal priors, sensor noise, and multiplexing. -
SSNP dataset
The dataset is used for training a neural network for computational 3D phase imaging of multiple-scattering samples. -
Phase Extraction Neural Network (PhENN)
The Phase Extraction Neural Network (PhENN) is a deep learning architecture that can be trained to recover an unknown phase object from the raw intensity measurement obtained...
