We present a method to enhance the quality of a video sequence captured through a
turbulent atmospheric medium, and give an estimate of the radiance of the distant scene …

Atmospheric turbulence (AT) can change the path and direction of light during video
capturing of a target in space due to the random motion of the turbulent medium, a …

In this paper we address the problem of recovering an image from a sequence of distorted
versions of it, where the distortion is caused by what is commonly referred to as ground-level …

We investigate the extension of the recently proposed weighted Fourier burst accumulation
(FBA) method into the wavelet domain. The purpose of FBA is to reconstruct a clean and …

The centroid method for the correction of turbulence consists in computing the Karcher-
Fréchet mean of the sequence of input images. The direction of deformation between a pair …

A new blind image deconvolution technique is developed for atmospheric turbulence
deblurring to overcome limitations of 'generic'blind deconvolution algorithms that do not take …

In this paper, we investigate how moving objects can be detected when images are
impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view …

The problem of reconstructing an image from a sequence that is altered by ground-level
atmospheric turbulence is still largely unsolved, due to the time-and space-dependent …

An improved analysis of optical turbulence effects on short-exposure passive (SE) imaging
is described, resulting in a new analytic expression for the SE modulation transfer function …

A variety of neural networks architectures are being studied to tackle blur in images and
videos caused by a non-steady camera and objects being captured. In this paper, we …