A multimode fiber represents the ultimate limit in miniaturization of imaging endoscopes.
However, such a miniaturization usually comes as a cost of a low spatial resolution and a …

Imaging through scattering media is a useful and yet demanding task since it involves
solving for an inverse mapping from speckle images to object images. It becomes even more …

Multiplexing multiple orbital angular momentum (OAM) modes of light has proven to be an
effective way to increase data capacity in fiber-optic communications. However, existing …

Wavefront coding (WFC) techniques, including optical coding and digital image processing
stages, enable significant capabilities for extending the depth of field of imaging systems. In …

Random scattering media that scatters incident light waves for optical diffraction-limit break
imaging has important application prospects and significance in biomedical imaging …

A data-driven fiber channel modeling method based on deep learning (DL) is introduced in
an optical communication system. In this study, bidirectional long short-term memory …

Imaging through scattering media is a fundamental and pervasive challenge in fields
ranging from medical diagnostics to astronomy. A promising strategy to overcome this …

Flexible fiber-optic endoscopes provide a solution for imaging at depths beyond the reach of
conventional microscopes. Current endoscopes require focusing and/or scanning …

A novel method based on deep learning technique for the modal decomposition of the
optical fields emerging from the few-mode fiber is demonstrated in this paper. By combining …

Single fiber imaging has evolved into a powerful method for detecting minute objects in
narrow spaces. However, existing systems are not conducive to imaging dynamic objects at …