Digital holography is a technology in which an interferogram, or a digital hologram, is
recorded by 2D image sensor and is reconstructed by a computer. As one of the recording …

We demonstrate a deep learning-based framework, called Fourier Imager Network (FIN),
which achieves unparalleled generalization in end-to-end phase-recovery and hologram …

The combination of computer‐generated holography (CGH) and deep learning has opened
the possibility to generate both realtime and high‐quality holograms. However, the widely …

Generation of high-resolution and speckle reduced light field data from hologram using deep
learning Page 1 W3A.33.pdf Digital Holography and 3-D Imaging 2019 © OSA 2019 Generation …

Phase recovery from intensity-only measurements forms the heart of coherent imaging
techniques and holography. In this study, we demonstrate that a neural network can learn to …

Reconstruction of inline holograms of unknown objects in general suffers from twin-image
artifacts due to the appearance of an out-of-focus image overlapping with the desired image …

Digital in-line holography is commonly used to reconstruct 3D images from 2D holograms for
microscopic objects. One of the technical challenges that arise in the signal processing …

The reconstruction quality of in-line holography suffers from the superposition of twin
images, which blurs the details and degrades the quality of the object wavefront …

Digital holography is one of the key technologies to obtain the wavefront information of three-
dimensional objects, and obtaining high quality hologram is the primary condition. Due to …

We propose a method to suppress the speckle noise and blur effects of the light field
extracted from a hologram using a deep‐learning technique. The light field can be extracted …