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Related papers: PMR: Physical Model-Driven Multi-Stage Restoration…

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Tackling image degradation due to atmospheric turbulence, particularly in dynamic environment, remains a challenge for long-range imaging systems. Existing techniques have been primarily designed for static scenes or scenes with small…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Ripon Kumar Saha , Dehao Qin , Nianyi Li , Jinwei Ye , Suren Jayasuriya

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 during the past decades, including model-based and emerging…

Image and Video Processing · Electrical Eng. & Systems 2023-07-21 Ajay Jaiswal , Xingguang Zhang , Stanley H. Chan , Zhangyang Wang

Video sequence capturing through refractive dynamic media, such as a turbulent air or water surface, often suffer from severe geometric distortions and temporal instability. While recent advances address mild atmospheric turbulence, no…

Atmospheric turbulence deteriorates the quality of images captured by long-range imaging systems by introducing blur and geometric distortions to the captured scene. This leads to a drastic drop in performance when computer vision…

Computer Vision and Pattern Recognition · Computer Science 2022-04-20 Nithin Gopalakrishnan Nair , Kangfu Mei , Vishal M. Patel

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. Atmospheric turbulence causes significant degradation to…

Computer Vision and Pattern Recognition · Computer Science 2022-09-21 Nithin Gopalakrishnan Nair , Kangfu Mei , Vishal M. Patel

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. However, these…

Computer Vision and Pattern Recognition · Computer Science 2022-05-10 Nantheera Anantrasirichai

Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range imaging applications. While existing deep-learning-based methods have demonstrated promising results in specific testing conditions, they suffer from…

Image and Video Processing · Electrical Eng. & Systems 2023-12-12 Xingguang Zhang , Zhiyuan Mao , Nicholas Chimitt , Stanley H. Chan

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…

Image and Video Processing · Electrical Eng. & Systems 2022-07-26 Zhiyuan Mao , Ajay Jaiswal , Zhangyang Wang , Stanley H. Chan

Motion blur, caused by relative movement between camera and scene during exposure, significantly degrades image quality and impairs downstream computer vision tasks such as object detection, tracking, and recognition in dynamic…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Shamika Likhite , Santiago López-Tapia , Aggelos K. Katsaggelos

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. These distortions present a formidable challenge across…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Zhicheng Zou , Nantheera Anantrasirichai

Ground based long-range passive imaging systems often suffer from degraded image quality due to a turbulent atmosphere. While methods exist for removing such turbulent distortions, many are limited to static sequences which cannot be…

Image and Video Processing · Electrical Eng. & Systems 2020-09-02 Zhiyuan Mao , Nicholas Chimitt , Stanley Chan

tmospheric turbulence presents a significant challenge in long-range imaging. Current restoration algorithms often struggle with temporal inconsistency, as well as limited generalization ability across varying turbulence levels and scene…

Image and Video Processing · Electrical Eng. & Systems 2023-12-11 Haoming Cai , Jingxi Chen , Brandon Y. Feng , Weiyun Jiang , Mingyang Xie , Kevin Zhang , Ashok Veeraraghavan , Christopher Metzler

Atmospheric turbulence poses a challenge for the interpretation and visual perception of visual imagery due to its distortion effects. Model-based approaches have been used to address this, but such methods often suffer from artefacts…

Computer Vision and Pattern Recognition · Computer Science 2024-03-01 P. Hill , N. Anantrasirichai , A. Achim , D. R. Bull

Atmospheric turbulence severely degrades video quality by introducing distortions such as geometric warping, blur, and temporal flickering, posing significant challenges to both visual clarity and temporal consistency. Current…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Zhiming Liu , Zhicheng Zou , Nantheera Anantrasirichai

We address the problem of restoring a high-quality image from an observed image sequence strongly distorted by atmospheric turbulence. A novel algorithm is proposed in this paper to reduce geometric distortion as well as…

Computer Vision and Pattern Recognition · Computer Science 2017-09-20 Chun Pong Lau , Yu Hin Lai , Lok Ming Lui

Atmospheric turbulence poses a significant challenge to the performance of object detection models. Turbulence causes distortions, blurring, and noise in images by bending and scattering light rays due to variations in the refractive index…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Engin Uzun , Erdem Akagunduz

Atmospheric turbulence significantly affects imaging systems which use light that has propagated through long atmospheric paths. Images captured under such condition suffer from a combination of geometric deformation and space varying blur.…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Rajeev Yasarla , Vishal M Patel

Atmospheric turbulence, a common phenomenon in daily life, is primarily caused by the uneven heating of the Earth's surface. This phenomenon results in distorted and blurred acquired images or videos and can significantly impact downstream…

Computer Vision and Pattern Recognition · Computer Science 2024-02-13 Xijun Wang , Santiago López-Tapia , Aggelos K. Katsaggelos

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 disturbance. Despite existing research has achieved great…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Shengqi Xu , Run Sun , Yi Chang , Shuning Cao , Xueyao Xiao , Luxin Yan

While Fourier ptychography (FP) offers super-resolution for macroscopic imaging, its real-world application is severely hampered by atmospheric turbulence, a challenge largely unaddressed in existing macroscopic FP research operating under…

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