Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model [PDF]
European Conference on Computer Vision, 2022 . Image restoration algorithms for atmospheric turbulence are known to be much more challenging to design than traditional ones such as blur or noise because the distortion caused by the turbulence is an entanglement of spatially varying blur, geometric ...
Zhiyuan Mao +3 more
semanticscholar +1 more source
Robust structured light in atmospheric turbulence [PDF]
Advanced Photonics, 2022 . Structured light is routinely used in free-space optical communication channels, both classical and quantum, where information is encoded in the spatial structure of the mode for increased bandwidth.
Asher Klug, Cade Peters, A. Forbes
semanticscholar +1 more source
AT-DDPM: Restoring Faces Degraded by Atmospheric Turbulence Using Denoising Diffusion Probabilistic Models [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 Although many long-range imaging systems are designed to support extended vision applications, a natural obstacle to their operation is degradation due to atmospheric turbulence.
Nithin Gopalakrishnan Nair +2 more
semanticscholar +1 more source
Atmospheric Turbulence Removal with Complex-Valued Convolutional Neural Network [PDF]
Pattern Recognition Letters, 2022 Atmospheric turbulence distorts visual imagery and is always problematic for information interpretation by both human and machine. Most well-developed approaches to remove atmospheric turbulence distortion are model-based.
N. Anantrasirichai
semanticscholar +1 more source
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform [PDF]
IEEE International Conference on Computer Vision, 2021 Fast and accurate simulation of imaging through atmospheric turbulence is essential for developing turbulence mitigation algorithms. Recognizing the limitations of previous approaches, we introduce a new concept known as the phase-to-space (P2S ...
Zhiyuan Mao +2 more
semanticscholar +1 more source
Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty [PDF]
International Conference on Information Photonics, 2021 Atmospheric turbulence can significantly degrade the quality of images acquired by long-range imaging systems by causing spatially and temporally random fluctuations in the index of refraction of the atmosphere.
R. Yasarla, Vishal M. Patel
semanticscholar +1 more source
Seasonal Variability of the Daytime and Nighttime Atmospheric Turbulence Experienced by InSight on Mars [PDF]
Geophysical Research Letters, 2021 The InSight mission, featuring continuous high‐frequency high‐sensitivity pressure measurements, is in ideal position to study the active atmospheric turbulence of Mars.
A. Chatain +4 more
semanticscholar +1 more source
A Survey of Structure of Atmospheric Turbulence in Atmosphere and Related Turbulent Effects [PDF]
Atmosphere, 2021 The Earth’s atmosphere is the living environment in which we live and cannot escape. Atmospheric turbulence is a typical random inhomogeneous medium, which causes random fluctuations of both the amplitude and phase of optical wave propagating through it.
Feng Shuang +4 more
openaire +3 more sources
Deep learning wavefront sensing and aberration correction in atmospheric turbulence
PhotoniX, 2021 Deep learning neural networks are used for wavefront sensing and aberration correction in atmospheric turbulence without any wavefront sensor (i.e. reconstruction of the wavefront aberration phase from the distorted image of the object).
Kaiqiang Wang +9 more
semanticscholar +1 more source
Italian National Conference on Sensors, 2021 The propagation performance of a free-space optical (FSO) communication system in an atmospheric environment is restricted and degraded due to the influence of atmospheric turbulence.
Zixuan Xu, Guanjun Xu, Zhengqi Zheng
semanticscholar +1 more source