In recent years, machine learning and deep neural networks applications have experienced
a remarkable surge in the field of physics, with optics being no exception. This tutorial aims …

Imaging through unstable scattering scenes is a challenging task and the focus of attention.
More computational techniques and optimization methods have been introduced in objects …

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 …

The imaging and tracking of moving objects through scattering media is a challenge due to
the serious degradation of optical information. However, the reconstruction fidelity for non …

Challenge of imaging through scattering media has been gradually solved by various
approaches. The scattering media can be utilized as “scattering lens” and applied to sub …

Recently, deep learning (DL) methods have been extensively developed for imaging
through scattering media. However, most learning methods rely on training with pairs of …

Imaging using scattering media is a very important yet challenging technology. As one of the
most widely used scattering imaging methods, speckle autocorrelation technology has …

Macroscopic Fourier ptychographic imaging method can significantly improve the resolution
of imaging systems. Nevertheless, under far-field complex environment conditions, such as …

Iterative phase retrieval algorithms are commonly used in computational techniques and
optimization methods to obtain the reconstruction of objects hidden behind opaque …

More scattering imaging methods have been proposed to realize imaging using scattered
optical signals. Deep learning plays an important role in the field of imaging through …