… work on using MMF to perform machine learning tasks. The … fiber system is characterized
without resorting to holographic … the fiber is not measured and only intensity measurements of …

… phase conjugation, have been developed to realize imaging through MMF. However, all
these … the high-fidelity imaging through a bent MMF by the conventional neural network (CNN). …

… simple intensity-only camera images. A … deep neural network is comparable to digital
holography, but requires significantly smaller efforts. The fast characterization of multimode fibers is …

… For the present problem, the goal is to transmit a pure intensity image into the CNN, … Imaging
through multimode fibers using deep learning: The effects of intensity versus holographic …

… by deep learning algorithms. This article starts with a brief introduction to digital holographic
imaging, … A hologram, as intensity patterns produced by the interference of two wave beams, …

… intensity-only images of the speckle patterns emerging from … Overall, we demonstrate that
multimode and multicore fibers … transmit an image through a MMF using holographic plates and …

… We use large amounts of simulated beam intensity profiles of … coded in a computer-generated
hologram (CGH) to complete … input is a single intensity pattern image while the last layer’s …

… through an MMF probe, they are based on interferometric measurements of the light field using
digital holography… We collected a total of 10,000 intensity images of speckle patterns. The …

… In the presence of a radially decreasing intensity profile at the proximal fiber facet, coupling
… Due to its extended depth of field, the holographic endoscope is capable of imaging …

… , deep neural networks were employed for imaging through … is measured by off-axis holography
in an interferometric setup. The … energy coupled into the SMF, we can tune the strength of …