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 …
Deep learning techniques for atmospheric turbulence removal: A review
The influence of atmospheric turbulence on acquired imagery makes image interpretation
and scene analysis extremely difficult and reduces the effectiveness of conventional …
and scene analysis extremely difficult and reduces the effectiveness of conventional …
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 …
Atfacegan: Single face semantic aware image restoration and recognition from atmospheric turbulence
CP Lau, CD Castillo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
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) …
Ltt-gan: Looking through turbulence by inverting gans
In many applications of long-range imaging, such as surveillance, we are faced with a
scenario where we have to recover and identify facial images appearing in the captured …
scenario where we have to recover and identify facial images appearing in the captured …
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 …
Weakly supervised face and whole body recognition in turbulent environments
Face and person recognition have recently achieved remarkable success under challenging
scenarios, such as off-pose and cross-spectrum matching. However, long-range recognition …
scenarios, such as off-pose and cross-spectrum matching. However, long-range recognition …
Diffuse and Restore: A Region-Adaptive Diffusion Model for Identity-Preserving Blind Face Restoration
Blind face restoration (BFR) from severely degraded face images in the wild is a highly ill-
posed problem. Due to the complex unknown degradation, existing generative works …
posed problem. Due to the complex unknown degradation, existing generative works …