Quantum imaging exemplifies the fascinating and counter‐intuitive nature of the quantum
world, where non‐local correlations are exploited for imaging of objects by remote and non …

Computational ghost imaging (CGI) using stereo vision is able to achieve three-dimensional
(3D) imaging by using multiple projection units or multiple bucket detectors which are …

It is important to recognize the target of interest in an imaging area. Target recognition is
applicable in fields such as driverless cars and military technology, while target recognition …

The imaging environment is unstable for trembling disturbance, which is detrimental to
object reconstruction. In this Letter, we experimentally investigated ghost imaging (GI) under …

Ghost imaging technology has a great application potential in optical security because of its
non-local characteristics. In this paper, on the basis of computational ghost imaging, an …

Artificial intelligence has recently been widely used in computational imaging. The deep
neural network (DNN) improves the signal-to-noise ratio of the retrieved images, whose …

We developed a novel method based on self-supervised learning to improve the ghost
imaging of occluded objects. In particular, we introduced a W-shaped neural network to …

The first application of neural networks in the problem of ghost polarimetry is reported. The
proposed approach has enabled the reconstruction of the spatial distribution of object …

In airborne imaging, wind‐induced random environment severely disturbs the imaging
quality. Ghost imaging (GI) shows its potential application in airborne imaging due to the …

In this research, we propose a real-time spatiotemporal free-fps algorithm based on the
multidimensional vector matrix Walsh transform with an adjustable ghost imaging video …