3 datasets found

The dataset used in this paper is a comprehensive analysis framework for Computational Imaging systems, including signal priors, sensor noise, and multiplexing.

The dataset is used for training a neural network for computational 3D phase imaging of multiple-scattering samples.

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...