Results 71 to 80 of about 2,423 (185)
Stabilizing and deblurring atmospheric turbulence [PDF]
2011 IEEE International Conference on Computational Photography (ICCP), 2011 A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method.
ZHU XIANG, MILANFAR PEYMAN
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Medical Physics, Volume 53, Issue 8, August 2026.Abstract Background Respiratory motion during PET Imaging leads to blurring, volumetric overestimation, and reduced quantitative accuracy. Deviceless motion correction algorithms (MCA) such as OncoFreeze (OF) by Siemens Healthineers (Forchheim, Germany) extract respiratory waveforms from list‐mode data but require validation that cannot be obtained in ...
Christian Kühnel +6 more
wiley +1 more source
Simulated Artifacts and Data Augmentation for Real-World Video Motion Deblurring
IEEE AccessThis paper proposes a data augmentation method that simulates artifacts specific to real-world videos as a preprocessing step for applying a deep learning-based video deblurring method to real-world videos.
Sota Moriyama, Kaito Kira, Koichi Ichige
doaj +1 more source
, 2017 The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more challenging due to the blur varying spatially and the occlusions between the object.
Mehdi Noroozi +2 more
openaire +2 more sources
CoRR, 2016 Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant information that exists across neighboring frames. As a result the best performing methods rely on aligning nearby frames.
Shuochen Su +5 more
openaire +3 more sources
Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 596-610, August 2026.ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong +6 more
wiley +1 more source
IEEE AccessThe task of image deblurring is a complex and ill-posed inverse problem, which endeavors to restore a high-fidelity image from its degraded and blurred counterpart.
Yongqun Tan, Lingli Zhang, Yu Chen
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Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 13-26, July 2026.ABSTRACT Purpose To simultaneously measure skeletal muscle energetics and blood flow (BF) before, during, and after dynamic plantar flexion exercise (PFE). Methods Non‐localized pulse‐acquire phosphorus‐31 magnetic resonance spectroscopy (31P MRS) and phase contrast flow magnetic resonance imaging (1H MRI) using golden‐angle rotated spiral readouts ...
T. Jake Samuel +6 more
wiley +1 more source
Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin +5 more
wiley +1 more source
Image Blur Classification and Unintentional Blur Removal
IEEE Access, 2019 Blur is a general image degradation caused by low-quality cameras or intentional photographing for highlighting moving or salient objects. However, most blur classifiers just classify images into blur and sharp, which cannot distinguish the intentional ...
Rui Huang +3 more
doaj +1 more source