High-fidelity image transmission through multimode fiber is critical for the biomedical
imaging and telecommunications industries. However, mode coupling and modal dispersion …

Imaging through perturbed multimode fibres based on deep learning has been widely
researched. However, existing methods mainly use target-speckle pairs in different …

Due to the occurrence of redundant speckle, multimode fiber (MMF) imaging is extremely
challenging. Our work studies the relationship between the effective feature distribution of …

Lensless flexible multicore fiber (MCF) endoscopes have the capability of imaging beyond
conventional endoscopes. The MCF provides a simple imaging solution when the object is …

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 …

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

Abstract Information transmission through multimode fibers (MMFs) has been a topic of great
interest for many years. Deep learning algorithms have been applied successfully to MMFs …

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 …

Artificial intelligence has emerged as promising tool to decode an image transmitted through
a multimode fiber (MMF) by applying deep learning techniques. By transmitting thousands of …

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 …