Results 61 to 70 of about 946,624 (201)

A progressive framework for rotary motion deblurring

Defence Technology
The rotary motion deblurring is an inevitable procedure when the imaging seeker is mounted in the rotating missiles. Traditional rotary motion deblurring methods suffer from ringing artifacts and noise, especially for large blur extents.
Jinhui Qin, Yong Ma, Jun Huang, Fan Fan, You Du   +4 more
doaj   +1 more source

Deep Pyramid Generative Adversarial Network With Local and Nonlocal Similarity Features for Natural Motion Image Deblurring

IEEE Access, 2019
It is of great importance to capture long-range dependency in image deblurring based on deep learning. Existing methods often capture long-range dependency by a large receptive field, which contributes by deep stacks of local convolutional operations ...
Bingxin Zhao, Weihong Li, Weiguo Gong
doaj   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion (“MR‐MinMo”) Head Stabilization Device

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1486-1501, September 2026.
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal, Simon Richardson, Yannick Brackenier, Matthew Gardner, Pierluigi Di Cio, Chiara Casella, Shaihan Malik, Jo Hajnal, Martina F. Callaghan, Fred Dick, David W. Carmichael   +10 more
wiley   +1 more source

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
Current diagnostic tests for lower urinary tract symptoms lack the ability to assess tissue‐level alterations in the bladder wall. This study introduces an approach for simultaneous high‐resolution 3D T1, T2, and proton density mapping of the bladder wall using magnetic resonance fingerprinting combined with a self‐supervised deep learning ...
Shane A. Wells, Giulia M. Ippolito, Melis Ozkan, Wilson Sui, Anne P. Cameron, Jesse I. Hamilton   +5 more
wiley   +1 more source

Development of an adjustable dynamic phantom for testing deviceless motion correction algorithm in PET

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, Tabea Nikola Schmidt, Leonie Schreiber, Holger Ginter, Michael Händel, Martin Freesmeyer, Falk Gühne   +6 more
wiley   +1 more source

Thermal Image Reconstruction Using Deep Learning

IEEE Access, 2020
A high-resolution thermal camera is very expensive and is thus difficult to be used. Furthermore, thermal images become blurred in various cases of object motion, camera shaking, and camera defocusing. To solve these problems, a previous super-resolution
Ganbayar Batchuluun, Young Won Lee, Dat Tien Nguyen, Tuyen Danh Pham, Kang Ryoung Park   +4 more
doaj   +1 more source

Holistic 3D Body Reconstruction From a Blurred Single Image

IEEE Access, 2022
Holistic human pose and shape reconstruction receive huge interest since it restores detailed human pose and shape including facial expression and finger-level hand shape.
Joshua Santoso, Williem, In Kyu Park
doaj   +1 more source

A hybrid deep learning framework for real‐time speckle reduction and image enhancement on portable ultrasound systems

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Speckle patterns in ultrasound images often obscure anatomical details, leading to diagnostic uncertainty. Recently, various deep learning‐based techniques have been introduced to effectively suppress speckle; however, their high computational costs pose challenges for low‐resource devices, such as portable ultrasound systems ...
Hyunwoo Cho, Jaeseok Lee, Jongsoo Lee, Yangmo Yoo, Jinbum Kang   +4 more
wiley   +1 more source

Motion deblurring with graph Laplacian regularization [PDF]

SPIE Proceedings, 2015
In this paper, we develop a regularization framework for image deblurring based on a new definition of the normalized graph Laplacian. We apply a fast scaling algorithm to the kernel similarity matrix to derive the symmetric, doubly stochastic filtering matrix from which the normalized Laplacian matrix is built.
Amin Kheradmand, Peyman Milanfar
openaire   +2 more sources