… deep learning phase unwrapping network. UMnet can realize digital holographic phase
unwrapping … Research progress in the applications of convolutional neural networks in optical …

… A set of on-axis holograms based on letters with different noise levels are generated to … the
U-Net-based neural network. The results show that the U-Net-based neural network is robust …

… 2d phase unwrapping algorithm for interferometric … network,the wrapped phase can be
extracted easily if the sampled fringes pattern is normalized using a trained deep neural network. …

… This paper proposes a digital holographic phase … successfully accelerates the unwrapping
process with no loss of accuracy … phase unwrapping of dynamic objects in digital holography [J…

… -based number-theoretical phase unwrapping[J]. Optics … convolutional neural network
constructed in this paper and the proposed wrapping-aware loss function achieve a high phase …

… -line digital holography with untrained deep neural networks[… droplet based on pulsed digital
holographic interferometry[J]. … Research progress in phase unwrapping technology and its …

… fringe patterns analysis phase unwrapping ghostimaging Fourier ptychographicmicroscopy
… reconstruction from single-shot speckle image using deep convolutional neural networks J …

… 为此, 本文提出使用贝叶斯神经网络(Bayesian Neural Network, BNN) 学习相位梯度映射关系
.BNN 一 方面… Bayesian deep neural network (BNN) architecture for phase gradient calculation …

数字全息测量具有准确度高, 非接触和全场测量等优点. 单波长数字全息测量主要适用于高度变化
在微米级的连续性形貌物体, 而基于双波长干涉技术的多波长数字全息技术可测量形貌更复杂, …

… This paper introduces a digital holographic microscopy technology that can perform real-…
Phase recovery and holographic image reconstruction using deep learning in neural networks…