Deep learning techniques for atmospheric turbulence removal: a review
Atmospheric turbulence significantly complicates the interpretation and analysis of images
by distorting them, making it hard to classify and track objects within a scene using …
by distorting them, making it hard to classify and track objects within a scene using …
At-ddpm: Restoring faces degraded by atmospheric turbulence using denoising diffusion probabilistic models
Although many long-range imaging systems are designed to support extended vision
applications, a natural obstacle to their operation is degradation due to atmospheric …
applications, a natural obstacle to their operation is degradation due to atmospheric …
Atfacegan: Single face semantic aware image restoration and recognition from atmospheric turbulence
Degradation due to atmospheric turbulence is common while capturing images at long
ranges. To mitigate the degradation due to turbulence which includes deformation and blur …
ranges. To mitigate the degradation due to turbulence which includes deformation and blur …
Atfacegan: Single face image restoration and recognition from atmospheric turbulence
Image degradation due to atmospheric turbulence is common while capturing images at
long ranges. To mitigate the degradation due to turbulence which includes deformation and …
long ranges. To mitigate the degradation due to turbulence which includes deformation and …
Atmospheric turbulence mitigation for sequences with moving objects using recursive image fusion
This paper describes a new method for mitigating the effects of atmospheric distortion on
observed sequences that include large moving objects. In order to provide accurate detail …
observed sequences that include large moving objects. In order to provide accurate detail …
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Tackling image degradation due to atmospheric turbulence particularly in dynamic
environments remains a challenge for long-range imaging systems. Existing techniques …
environments remains a challenge for long-range imaging systems. Existing techniques …
Imaging through strong turbulence with a light field approach
C Wu, J Ko, CC Davis - Optics express, 2016 - opg.optica.org
Under strong turbulence conditions, object's images can be severely distorted and become
unrecognizable throughout the observing time. Conventional image restoring algorithms do …
unrecognizable throughout the observing time. Conventional image restoring algorithms do …
Atmospheric Turbulence Degraded Video Restoration with Recurrent GAN (ATVR-GAN)
B Ettedgui, Y Yitzhaky - Sensors, 2023 - mdpi.com
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 …
capturing of a target in space due to the random motion of the turbulent medium, a …
Dynamic turbulence mitigation for long-range imaging in the presence of large moving objects
Long-range imaging with visible or infrared observation systems is typically hampered by
atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and …
atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and …
Robust moving objects detection in long-distance imaging through turbulent medium
X Xu, P Yang, H **an, Y Liu - Infrared Physics & Technology, 2019 - Elsevier
The tough challenges of detecting moving objects in long-distance imaging stems from the
optical turbulence effects, which leads to blurred image, flickering pixel value and shifted …
optical turbulence effects, which leads to blurred image, flickering pixel value and shifted …