Results 71 to 80 of about 1,364,847 (158)

A Video Deblurring Algorithm Based on Motion Vector and An Encorder-Decoder Network

, 2019
Camera shakes cause video motion blur. Video deblurring has been studied for years, and however, there are still unresolved problems, such as video frame alignment, frame selection, and frame ambiguity evaluation.
Li, Li, Fu, Xiaofeng, Zhou, Qili, Li, Pengcheng, Zhang, Shanqing, Meng, Yiheng   +5 more
core   +1 more source

Simultaneous Assessment of Skeletal Muscle Energetics and Blood Flow During Dynamic Exercise by Interleaved 31P‐MRS/1H‐MRI

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, Sandeep K. Ganji, Joseph R. Goldenberg, Sabra C. Lewsey, Allison G. Hays, Robert G. Weiss, Michael Schär   +6 more
wiley   +1 more source

A method for deblurring motion blur in visible light images based on improved DeblurGAN [PDF]

Zhihui kongzhi yu fangzhen
This paper focuses on the task of motion deblurring in visible light images by improving and further lightening DeblurGAN, resulting in the model Faster-DeblurGAN.
WANG Bilin
doaj   +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, Zhe Zhu, Xinwei Xue, Guangtao Fu, Chi Zhang, Yu Li   +5 more
wiley   +1 more source

Image deblurring by multi-scale modified U-Net using dilated convolution

Science Progress
In modern urban traffic systems, intersection monitoring systems are used to monitor traffic flows and track vehicles by recognizing license plates. However, intersection monitors often produce motion-blurred images because of the rapid movement of cars.
Xiao-Pei Shi, Song-Yih Lin, Min-Lang Yang, Chung-Chi Huang, Jen-Chun Lee   +4 more
doaj   +1 more source

Ultrafast Blood T1 Measurement Using Golden Angle Rotated Spiral k‐t Sparse Parallel Imaging (GASSP): Evaluations in Both Pre‐ and Post‐Contrast Conditions

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3351-3359, June 2026.
ABSTRACT Purpose Blood T1 is a key parameter for hemodynamic quantification in both non‐contrast‐ and contrast‐enhanced imaging. Individual vessel T1 has been measured using a modified Look–Locker scheme with multi‐shot EPI or FLASH in high spatial resolution, requiring ∼1 min.
Zechen Xu, Feng Xu, Qin Qin, Dan Zhu
wiley   +1 more source

Blind UAV Images Deblurring Based on Discriminative Networks

Sensors, 2018
Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang, Guorui Ma, Qianqing Qin, Qiang Shi, Juntao Huang   +4 more
doaj   +1 more source

Photon‐Sphere Modes in Curved Optical Microcavities: A Black‐Hole Analogue Laser

Advanced Science, Volume 13, Issue 28, 18 May 2026.
An optical analogue of a Schwarzschild black hole is realized using curved microcavities that preserve light‐like geodesics. A new family of laser modes confined around the photon sphere is identified alongside conventional whispering‐gallery modes. Analytical theory, numerical simulations, and experiments reveal curvature‐induced confinement, enabling
Chenni Xu, Aswathy Sundaresan, Nazire‐Begüm Kazkal, Clement Lafargue, Lior Zarfaty, Li‐Gang Wang, Ofek Birnholtz, Dominique Decanini, Melanie Lebental, Patrick Sebbah   +9 more
wiley   +1 more source

Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring

IEEE Access, 2020
Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao, Bangshu Xiong, Shan Gai, Lei Wang   +3 more
doaj   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source