Single frame atmospheric turbulence mitigation: A benchmark study and a new physics-inspired transformer model
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 …
challenging to design than traditional ones such as blur or noise because the distortion …
Accelerating atmospheric turbulence simulation via learned phase-to-space transform
Fast and accurate simulation of imaging through atmospheric turbulence is essential for
developing turbulence mitigation algorithms. Recognizing the limitations of previous …
developing turbulence mitigation algorithms. Recognizing the limitations of previous …
Real-time dense field phase-to-space simulation of imaging through atmospheric turbulence
Numerical simulation of atmospheric turbulence is one of the biggest bottlenecks in
developing computational techniques for solving the inverse problem in long-range imaging …
developing computational techniques for solving the inverse problem in long-range imaging …
Tilt-then-blur or blur-then-tilt? clarifying the atmospheric turbulence model
SH Chan - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
Imaging at a long distance often requires advanced image restoration algorithms to
compensate for the distortions caused by atmospheric turbulence. However, unlike many …
compensate for the distortions caused by atmospheric turbulence. However, unlike many …
Farsight: A physics-driven whole-body biometric system at large distance and altitude
Whole-body biometric recognition is an important area of research due to its vast
applications in law enforcement, border security, and surveillance. This paper presents the …
applications in law enforcement, border security, and surveillance. This paper presents the …
Computational imaging through atmospheric turbulence
Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through
atmospheric turbulence has grown from a pure scientific pursuit to an important subject …
atmospheric turbulence has grown from a pure scientific pursuit to an important subject …
Spatio-Temporal Turbulence Mitigation: A Translational Perspective
Recovering images distorted by atmospheric turbulence is a challenging inverse problem
due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) …
due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) …
Nert: Implicit neural representations for unsupervised atmospheric turbulence mitigation
W Jiang, V Boominathan… - Proceedings of the …, 2023 - openaccess.thecvf.com
The atmospheric turbulence mitigation problem has emerged as a challenging inverse
problem in the communities of computer vision and optics. However, current methods either …
problem in the communities of computer vision and optics. However, current methods either …
Scattering and gathering for spatially varying blurs
A spatially varying blur kernel is specified by an input coordinate and an output coordinate.
For computational efficiency, we sometimes write as a linear combination of spatially …
For computational efficiency, we sometimes write as a linear combination of spatially …
Anisoplanatic optical turbulence simulation for near-continuous profiles without wave propagation
For the simulation of anisoplanatic optical turbulence, split-step propagation is the gold
standard. Within the context of the degradations being limited to phase distortions, one …
standard. Within the context of the degradations being limited to phase distortions, one …