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 …
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 …
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 …
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) …
[HTML][HTML] Atmospheric turbulence removal with complex-valued convolutional neural network
N Anantrasirichai - Pattern Recognition Letters, 2023 - Elsevier
Atmospheric turbulence distorts visual imagery and is always problematic for information
interpretation by both human and machine. Most well-developed approaches to remove …
interpretation by both human and machine. Most well-developed approaches to remove …
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 …
Unsupervised Moving Object Segmentation with Atmospheric Turbulence
Moving object segmentation in the presence of atmospheric turbulence is highly challenging
due to turbulence-induced irregular and time-varying distortions. In this paper, we present …
due to turbulence-induced irregular and time-varying distortions. In this paper, we present …
Long-Range Turbulence Mitigation: A Large-Scale Dataset and A Coarse-to-Fine Framework
Long-range imaging inevitably suffers from atmospheric turbulence with severe geometric
distortions due to random refraction of light. The further the distance, the more severe the …
distortions due to random refraction of light. The further the distance, the more severe the …
DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers
Z Zou, N Anantrasirichai - Proceedings of the Asian …, 2024 - openaccess.thecvf.com
Atmospheric turbulence in long-range imaging significantly degrades the quality and fidelity
of captured scenes due to random variations in both spatial and temporal dimensions …
of captured scenes due to random variations in both spatial and temporal dimensions …