Results 111 to 120 of about 615,528 (247)

Singular wavelets on a finite interval

Informatika, 2018
Nonparametric methods are used in complex cases where model information is insufficient. A new method of nonparametric approximation, the singular wavelet method, is developed.
V. M. Romanchak
doaj  

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Blur image representation in defocus using generalized Gaussian kernel

Journal of Information Display
Some optical see-through (OST) head-mounted displays use a mask to reduce the effect of external light on virtual objects. The mask blocks the external light, and occlusion is applied to the optical system to provide depth cues to users. Unlike hard-edge
Sungeun Park, Junseok Ma, Seung-Won Oh, Wook-Sung Kim   +3 more
doaj   +1 more source

Rep2Rep‐Shuffle: Shuffled Repetition‐to‐Repetition Learning for Noise‐Adaptive Self‐Supervised MRI Denoising

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose MRI applications with low SNR, such as non‐proton imaging and low‐field imaging, often require multiple signal averages to achieve adequate image quality at the cost of longer scan times. This work proposes Rep2Rep‐Shuffle, a self‐supervised learning framework that improves MRI denoising performance in repeated‐acquisition imaging with
Renqing Luo, Nikola Janjušević, Rajan Jain, Haoyang Pei, Yao Wang, Guillaume Madelin, Li Feng   +6 more
wiley   +1 more source

Whole‐Brain Cerebral Microvascular Pulsatility Imaging Using Dynamic pCASL MRI With Segmented Stack‐of‐Stars Golden‐Angle Radial Acquisition

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an efficient dynamic pseudo‐continuous arterial spin labeling (pCASL) MRI technique for whole‐brain microvascular flow pulsatility imaging. Methods The proposed technique combines pCASL with a segmented stack‐of‐stars golden‐angle radial acquisition.
Tianrui Zhao, Jianing Tang, Yining He, Dilip K. Pandey, Philip B. Gorelick, Lirong Yan   +5 more
wiley   +1 more source

Optimization of Gradient Pulse Shape Prediction Using Temporal Convolutional Networks

Magnetic Resonance in Medicine, EarlyView.
Purpose To improve TCN‐based gradient‐waveform prediction with respect to acquisition efficiency and inference speed, and to evaluate its use for radial imaging. Methods Gradient waveforms were measured using a thin‐slice method on a preclinical MRI system. Separate TCN models were trained for each physical gradient axis to predict both gradient and B0$
Jiří Vitouš, Radovan Jiřík, Zenon Starčuk   +2 more
wiley   +1 more source

Simultaneous T1 and T2 Mapping in the Brain With QuantoRAGE: An MP2RAGE Variant Using T2‐Prepared Inversion

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and validate a repeatable and reproducible approach, QuantoRAGE, for simultaneous whole‐brain T1 and T2 mapping using adiabatic magnetization preparation. Methods QuantoRAGE is a 3D FLASH‐based sequence using an adiabatic T2‐prepared inversion followed by two readout blocks.
Natalia Pato Montemayor, Tâm Johan Nguyên, José P. Marques, Berk Can Açikgöz, Jessica A. M. Bastiaansen, Roland Kreis, Piotr Radojewski, Jonathan Stelter, Dimitrios Karampinos, Jocelyn Philippe, Lina Bacha, Tommaso Di Noto, Bénédicte Maréchal, Dominik Nickel, Patrick A. Liebig, Robin M. Heidemann, Tobias Kober, Jean‐Philippe Thiran, Tom Hilbert, Thomas Yu, Gian Franco Piredda, Gabriele Bonanno   +21 more
wiley   +1 more source

Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning

Sensors
Motion blur is a complex phenomenon caused by the relative movement between an observed object and an imaging sensor during the exposure time, resulting in degradation in the image quality.
Quoc-Thien Ho, Minh-Thien Duong, Seongsoo Lee, Min-Cheol Hong   +3 more
doaj   +1 more source

BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling

Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can achieve impressive results on curated benchmarks; however, images captured in real life are often blurry.
Li, Deming, Tang, Yutao, Wang, Nengyu, Peng, Cheng, Liu, Xijun, Zhou, Yifan, Chellappa, Rama   +6 more
core  

PSNR (dB) and time (s) depending on maximum inner iterations NIt on the image “Cameraman” with Gaussian blur kernel 7 × 7 and standard deviation 5 and 40% salt-and-pepper noise.

, 2015
PSNR (dB) and time (s) depending on maximum inner iterations NIt on the image “Cameraman” with Gaussian blur kernel 7 × 7 and standard deviation 5 and 40% salt-and-pepper noise.
Xiao-Guang Lv (5663122), Gang Liu (81776), Jun Liu (42548), Ting-Zhu Huang (724177)   +3 more
core   +1 more source