Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image …

Turbulence mitigation refers to the stabilization of videos with nonuniform deformations due
to the influence of optical turbulence. Typical approaches for turbulence mitigation follow …

To correct geometric distortion and reduce space and time-varying blur, a new approach is
proposed in this paper capable of restoring a single high-quality image from a given image …

Many computer vision problems face difficulties when imaging through turbulent refractive
media (eg, air and water) due to the refraction and scattering of light. These effects cause …

We address the problem of restoring a high-quality image from an observed image
sequence strongly distorted by atmospheric turbulence. A novel algorithm is proposed in this …

Surveillance of fish disease is essential to contain the spreading epidemics. Current
surveillance mostly relies on molecular biology testing methods, which often requires …

It remains a challenge to simultaneously remove geometric distortion and space-time-
varying blur in frames captured through a turbulent atmospheric medium. To solve, or at …

We present a method for reconstructing the 3D shape of underwater environments from a
single, stationary camera placed above the water. We propose a novel differentiable …

Videos shot by laymen using hand-held cameras contain undesirable shaky motion.
Estimating the global motion between successive frames, in a manner not influenced by …

Imaging through dynamic refractive media, such as looking into turbulent water, or through
hot air, is challenging since light rays are bent by unknown amounts leading to complex …