Imaging through fog has important applications in industries such as self-driving cars,
augmented driving, airplanes, helicopters, drones and trains. Here we show that time …

We demonstrate an imaging technique that allows identification and classification of objects
hidden behind scattering media and is invariant to changes in calibration parameters within …

Scattering effects in images, including those related to haze, fog and appearance of clouds,
are fundamentally dictated by microphysical characteristics of the scatterers. This work …

To image in high resolution large and occlusion-prone scenes, a camera must move above
and around. Degradation of visibility due to geometric occlusions and distances is …

Tomography aims to recover a three-dimensional (3D) density map of a medium or an
object. In medical imaging, it is extensively used for diagnostics via X-ray computed …

We present a Monte Carlo rendering framework for the physically-accurate simulation of
speckle patterns arising from volumetric scattering of coherent waves. These noise-like …

We present 3DeepCT, a deep neural network for computed tomography, which performs 3D
reconstruction of scattering volumes from multi-view images. The architecture is dictated by …

Inverse problems in scientific imaging often seek physical characterization of heterogeneous
scene materials. The scene is thus represented by physical quantities, such as the density …

Vehicles, search and rescue personnel, and endoscopes use flash lights to locate, identify,
and view objects in their surroundings. Here we show the first steps of how all these tasks …

We derive computed tomography (CT) of a time-varying volumetric scattering object, using a
small number of moving cameras. We focus on passive tomography of dynamic clouds, as …