Results 101 to 110 of about 2,159,265 (282)
Blurred Image Restoration with Unknown Point Spread Function
Al-Mustansiriyah Journal of Science, 2018 Blurring image caused by a number of factors such as de focus, motion, and limited sensor resolution. Most of existing blind deconvolution research concentrates at recovering a single blurring kernel for the entire image.
ghada sabah karam
doaj +1 more source
A forward-constrained regression algorithm for sparse kernel density estimation [PDF]
, 2008 Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward-constrained regression (FCR) manner. The proposed algorithm selects significant kernels one at a time, while the leave-
Harris, C. J. +8 more
core +1 more source
Lipids, EarlyView.ABSTRACT Studies have shown that omega‐3 fatty acids may protect against cardiovascular diseases (CVDs) and related metabolic conditions. UK Biobank is a large cohort study that includes data on plasma omega‐3 fatty acids at study entry and health outcomes during the follow‐up period.
Warda Tul Firdous, Philip C. Calder
wiley +1 more source
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 +3 more
wiley +1 more source
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring
, 2019 The image motion blurring process is generally modelled as the convolution of a blur kernel with a latent image. Therefore, the estimation of the blur kernel is essentially important for blind image deblurring.
Miaomiao Liu +7 more
core +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To improve free‐breathing low‐dose quantitative dynamic contrast‐enhanced (DCE) MRI for imaging pancreatic ductal adenocarcinoma. Methods We introduced non‐rigid (NR) motion compensation (MoCo) into MR Multitasking using a novel “in‐subspace” formulation that directly applies motion fields to spatial feature maps (eigenimages ...
Lingceng Ma +10 more
wiley +1 more source
NONPARAMETRIC KERNEL ESTIMATION OF MULTIPLE HEDGE RATIOS [PDF]
It is possible for the traditional hedge ratio estimation to produce erroneous guidance to risk managers because of the restrictive assumptions. This study adopts nonparametric locally polynomial kernel estimation to exclude the assumptions. Results from
Kim, MinKyoung, Leuthold, Raymond M.
core
Motion blur removal from photographs [PDF]
, 2010 Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 135-143).One of the long-standing challenges in photography is
Cho, Taeg Sang
core
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin +7 more
wiley +1 more source
, 2015 Image blur stems from camera sensor pixel recording light from multiple sources. There are three causes of blur: object motion, optical defocus and camera shake.
Zhang, Yi
core +1 more source