[1910.11272] Learning-based real-time method to looking through scattering medium oriented to practical application
Abstract: Strong scattering media brings great difficulties to optical imaging, which
is also a problem that medical imaging and many other fields must face. Optical
memory effect makes it possible to image through strong scattering medium.
However, this method also has the limitation of limited angle field-of-view
(FOV), which prevents it from being applied in practice. In this paper, a kind
of practical convolutional neural network called PDSNet is proposed, which
effectively breaks through the limitation of optical memory effect on image
field angle. Experiments is conducted to prove that the scattered pattern can
be reconstructed quickly and accurately by PDSNet, and it is widely applicable
to restoring speckle pattern generated from objects of different scales and
scattering medias with different statistical characteristics.