Parallel diffusion models of operator and image for blind inverse problems
Diffusion model-based inverse problem solvers have demonstrated state-of-the-art
performance in cases where the forward operator is known (ie non-blind). However, the …
performance in cases where the forward operator is known (ie non-blind). However, the …
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 …
Physics-driven turbulence image restoration with stochastic refinement
Image distortion by atmospheric turbulence is a stochastic degradation, which is a critical
problem in long-range optical imaging systems. A number of research has been conducted …
problem in long-range optical imaging systems. A number of research has been conducted …
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 …
Imaging through the atmosphere using turbulence mitigation transformer
Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range
imaging applications. While existing deep-learning-based methods have demonstrated …
imaging applications. While existing deep-learning-based methods have demonstrated …
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 …
Unsupervised non-rigid image distortion removal via grid deformation
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 …
media (eg, air and water) due to the refraction and scattering of light. These effects cause …
CNN-based restoration of a single face image degraded by atmospheric turbulence
Atmospheric turbulence significantly affects imaging systems which use light that has
propagated through long atmospheric paths. Images captured under such condition suffer …
propagated through long atmospheric paths. Images captured under such condition suffer …
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 …