Deep-learning in digital holography with imperfect data

Abstract

We propose a digital holographic reconstruction algorithm based on deep learning with imperfect data. Experiments prove that this algorithm can reduce the impact of uncontrollable environmental factors on the dataset and obtain satisfactoiy reconstruction images.