The real-time transmission of images through a multimode fiber (MMF) is still a challenging
research work. One method completes image transmission by measuring and controlling the …

Multimode fibers (MMF) have been extensively investigated for transmitting images. The
transmitting images are distorted into speckle patterns by MMFs, which can be reconstructed …

Multimode fiber (MMF) plays a vital role in promoting the miniaturization of endoscope.
However, real-time and high-definition imaging using the MMF that remains a challenging …

Multimode fibers (MMFs) are an example of a highly scattering medium, which scramble the
coherent light propagating within them to produce seemingly random patterns. Thus, for …

The obstacle of imaging through multimode fibers (MMFs) is encountered due to the fact that
the inherent mode dispersion and mode coupling lead the output of the MMF to be scattered …

Imaging through multicore fiber (MCF) is of great significance in the biomedical domain.
Although several techniques have been developed to image an object from a signal passing …

Multimode fibers provide a unique opportunity for exploring the spatial degrees of freedom
for high throughput light transmission. However, the modal dispersion prevents from the …

Multimode optical fiber (MMF) imaging is an emerging fiber imaging technology that has
been developed during the last decade. In this work, we demonstrate deep-learning-based …

Imaging through multimode fibers (MMFs) is a challenging task. Some approaches, eg
transmission matrix or digital phase conjugation, have been developed to realize imaging …

We implement faithful multimode fiber (MMF) image transmission by a self-attention-based
neural network. Compared with a real-valued artificial neural network (ANN) based on a …