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Motion deblurring is a highly ill-posed problem due to the loss of motion information in the blur degradation process. Since event cameras can capture apparent motion with a high temporal resolution, several attempts have explored the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Taewoo Kim , Jeongmin Lee , Lin Wang , Kuk-Jin Yoon

Traditional frame-based cameras inevitably suffer from motion blur due to long exposure times. As a kind of bio-inspired camera, the event camera records the intensity changes in an asynchronous way with high temporal resolution, providing…

Computer Vision and Pattern Recognition · Computer Science 2023-01-13 Lei Sun , Christos Sakaridis , Jingyun Liang , Qi Jiang , Kailun Yang , Peng Sun , Yaozu Ye , Kaiwei Wang , Luc Van Gool

Lucky Imaging is now an established observing procedure that delivers near diffraction-limited images in the visible on ground-based telescopes up to ~2.5 m in diameter. Combined with low order adaptive optics it can deliver resolution…

Instrumentation and Methods for Astrophysics · Physics 2015-06-15 Craig Mackay

The problem of image blurring is one of the most studied topics in the field of image processing. Image blurring is caused by various factors such as hand or camera shake. To restore the blurred image, it is necessary to know information…

Computer Vision and Pattern Recognition · Computer Science 2023-10-03 M. Zarebnia , R. Parvaz

Motion blur is a known issue in photography, as it limits the exposure time while capturing moving objects. Extensive research has been carried to compensate for it. In this work, a computational imaging approach for motion deblurring is…

Image and Video Processing · Electrical Eng. & Systems 2020-02-19 Shay Elmalem , Raja Giryes , Emanuel Marom

Blind image deblurring is a fundamental and challenging computer vision problem, which aims to recover both the blur kernel and the latent sharp image from only a blurry observation. Despite the superiority of deep learning methods in image…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Pei Wang , Wei Sun , Qingsen Yan , Axi Niu , Rui Li , Yu Zhu , Jinqiu Sun , Yanning Zhang

Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applications, e.g., astronomy, microscopy or computational…

Optimization and Control · Mathematics 2017-05-19 Rahul Mourya , André Ferrari , Rémi Flamary , Pascal Bianchi , Cédric Richard

Numerous everyday situations like navigation, medical imaging and rescue operations require viewing through optically inhomogeneous media. This is a challenging task as photons, instead of traversing ballistically, propagate predominantly…

Adaptive optics can focus light through opaque media by compensating the random phase delay acquired while crossing a scattering curtain. The technique is commonly exploited in many fields, including astrophysics, microscopy, biomedicine…

Optics · Physics 2015-06-24 Diego Di Battista , Giannis Zacharakis , Marco Leonetti

In this paper, we propose an approach to address the problem of 3D reconstruction of scenes from a single image captured by a light-field camera equipped with a rolling shutter sensor. Our method leverages the 3D information cues present in…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Hermes McGriff , Renato Martins , Nicolas Andreff , Cédric Demonceaux

Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse…

Computer Vision and Pattern Recognition · Computer Science 2012-12-04 Prasad Sudhakar , Laurent Jacques , Xavier Dubois , Philippe Antoine , Luc Joannes

Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling…

Computer Vision and Pattern Recognition · Computer Science 2020-06-04 Cenek Albl , Zuzana Kukelova , Viktor Larsson , Tomas Pajdla , Konrad Schindler

The scattering cancellation technique is a powerful tool to reduce the scattered field from electrically small objects in a specific frequency window. The technique relies on covering the object of interest with a shell that scatters light…

We investigate the reduction of the electromagnetic field fluctuations in resonance fluorescence from a single emitter coupled to an optical nanostructure. We find that such hybrid system can lead to the creation of squeezed states of…

Quantum Physics · Physics 2015-01-05 Diego Martín Cano , Harald R. Haakh , Karim Murr , Mario Agio

We introduce a structured light system that enables full-frame 3D scanning at speeds of $1000\text{ fps}$, four times faster than the previous fastest systems. Our key innovation is the use of a custom acousto-optic light scanning device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dhawal Sirikonda , Praneeth Chakravarthula , Ioannis Gkioulekas , Adithya Pediredla

Several state-of-the-art video deblurring methods are based on a strong assumption that the captured scenes are static. These methods fail to deblur blurry videos in dynamic scenes. We propose a video deblurring method to deal with general…

Computer Vision and Pattern Recognition · Computer Science 2015-07-10 Tae Hyun Kim , Kyoung Mu Lee

Light curves feature many kinds of variability, including instrumental systematics, intrinsic stellar variability such as pulsations, and flux changes caused by transiting exoplanets or eclipsing binary stars. Detrending is a key…

Earth and Planetary Astrophysics · Physics 2022-11-09 Michelle Kunimoto , Evan Tey , Willie Fong , Katharine Hesse , Avi Shporer

With the improvement of social life quality and the real needs of daily work, images are more and more all around us. Image blurring due to camera shake, human movement, etc. has become the key to affecting image quality. How to remove…

Computer Vision and Pattern Recognition · Computer Science 2022-02-16 ChuMiao Li

High-quality scene reconstruction and novel view synthesis based on Gaussian Splatting (3DGS) typically require steady, high-quality photographs, often impractical to capture with handheld cameras. We present a method that adapts to camera…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Otto Seiskari , Jerry Ylilammi , Valtteri Kaatrasalo , Pekka Rantalankila , Matias Turkulainen , Juho Kannala , Esa Rahtu , Arno Solin

Motion blur caused by camera or object movement severely degrades image quality and poses challenges for real-time applications such as autonomous driving, UAV perception, and medical imaging. In this paper, a lightweight U-shaped network…

Image and Video Processing · Electrical Eng. & Systems 2025-12-29 Zhuoyu Wu , Wenhui Ou , Qiawei Zheng , Jiayan Yang , Quanjun Wang , Wenqi Fang , Zheng Wang , Yongkui Yang , Heshan Li