Results 121 to 130 of about 20,368 (248)

Joint Deblurring and Destriping for Infrared Remote Sensing Images with Edge Preservation and Ringing Suppression

Remote Sensing
Infrared remote sensing images are often degraded by blur and stripe noise caused by satellite attitude variations, optical distortions, and electronic interference, which significantly compromise image quality and target detection performance.
Ningfeng Wang, Liang Huang, Mingxuan Li, Bin Zhou, Ting Nie   +4 more
doaj   +1 more source

Unconventional Fiscal Policies in Response to Inflation: The Iberian Exception in Portugal

Scottish Journal of Political Economy, EarlyView.
ABSTRACT The surge in Eurozone inflation in 2022 compelled European governments to implement unconventional fiscal policies. One initiative, the Iberian Exception, imposed a cap on the cost of natural gas used for electricity generation in Portugal and Spain.
Lourenço Cerdeira, Sofia Vale, Luís Clemente‐Casinhas   +2 more
wiley   +1 more source

A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring

Applied Sciences
Image blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data.
Shaoqing Gong, Yeran Wang, Guangyu Yang, Weibo Wei, Junli Zhao, Zhenkuan Pan   +5 more
doaj   +1 more source

Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple Regularizations. [PDF]

Comput Vis Image Underst, 2017
Li L, Wang J, Lu W, Tan S.
europepmc   +1 more source

Perceptual Priors Update Contextual Feedback Processing in V1

Topics in Cognitive Science, EarlyView.
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova, Yingying Huang, Lars F. Muckli, Lucy S. Petro   +3 more
wiley   +1 more source

Blind Super-Resolution Based on Interframe Information Compensation for Satellite Video

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Super-resolution (SR) of satellite video has long been a critical research direction in the field of remote sensing video processing and analysis, and blind SR has attracted increasing attention in the face of satellite video with unknown degradation ...
Hongliang Chang, Haijiang Sun, Jinchang Ren, Qiaoyuan Liu, Xiaowen Zhang   +4 more
doaj   +1 more source

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

The Journal of Physiology, EarlyView.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner, Fabio Frangiamore, Frédéric Sonak, Josef Madl, Thomas Seidel, Peter Kohl, Eva A. Rog‐Zielinska   +6 more
wiley   +1 more source

Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3241-3252, June 2026.
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll, Christoph Kolbitsch, Michaela Schmidt, Marcel Dominik Nickel, Tobias Schaeffter, Daniel Giese   +5 more
wiley   +1 more source

A Spatio‐Temporal Diffusion Model for Cardiac Real‐Time Imaging

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3574-3583, June 2026.
ABSTRACT Purpose Real‐time imaging of cardiac function is favorable due to shorter scan times and becomes necessary when arrhythmia or inability to hold breath leads to insufficient quality of electrocardiogram (ECG)‐gated Cartesian cine. However, comparable spatio‐temporal resolution can only be achieved in undersampled settings, which in turn demand ...
Oliver Schad, Julius Frederik Heidenreich, Nils Petri, Viktor Hartung, Alena Kollmann, Thorsten Alexander Bley, Peter Nordbeck, Bernhard Petritsch, Tobias Wech   +8 more
wiley   +1 more source

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2554-2567, May 2026.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang, Brock W. Jolicoeur, James Rice, Caroline A. Doctor, Zaynab S. Yardim, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Kevin M. Johnson   +7 more
wiley   +1 more source