Results 91 to 100 of about 5,912,595 (286)
Remote Sensing, 2018 Exploration of multiple priors on observed signals has been demonstrated to be one of the effective ways for recovering underlying signals. In this paper, a new spectral difference-induced total variation and low-rank approximation (termed SDTVLA) method
Le Sun +4 more
doaj +1 more source
IEEE Access, 2020 The fusion of hyperspectral and multispectral images is an effective way to obtain hyperspectral super-resolution images with high spatial resolution. A hyperspectral image is a datacube containing two spatial dimensions and a spectral dimension.
Fei Ma, Feixia Yang, Yanwei Wang
doaj +1 more source
Image Restoration using Total Variation Regularized Deep Image Prior
, 2018 In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.
Kamilov, Ulugbek S. +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hemoglobinopathies are prevalent globally; diagnosis is complex in high genetic admixture populations like Brazil. We report, in two pediatric siblings, the first documented cases in Brazil of heterozygosity for hemoglobin (Hb) O‐Arab with coinheritance of α‐thalassemia (αα/−α4.2; −α3.7/−α4.2), resulting in microcytic and hypochromic anemia ...
Elisângela de Souza Miranda Muynarsk +9 more
wiley +1 more source
On the role of total variation in compressed sensing
, 2015 This paper considers the problem of recovering a one or two dimensional discrete signal which is approximately sparse in its discrete gradient from an incomplete subset of its discrete Fourier coefficients which have been corrupted with noise.
Poon, Clarice
core +1 more source
Total Variation Denoising in $l^1$ Anisotropy [PDF]
SIAM Journal on Imaging Sciences, 2017 We aim at constructing solutions to the minimizing problem for the variant of Rudin-Osher-Fatemi denoising model with rectilinear anisotropy and to the gradient flow of its underlying anisotropic total variation functional. We consider a naturally defined class of functions piecewise constant on rectangles (PCR).
Łasica, Michał +2 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Sparse View CT Image Reconstruction Based on Total Variation and Wavelet Frame Regularization
IEEE Access, 2020 The sparse view problem of image reconstruction encountered in computed tomography (CT) is an important research issue due to its considerable potential in lowering radiation dose.
Zhaoyan Qu +3 more
doaj +1 more source
An Iterative Shrinkage Approach to Total-Variation Image Restoration
, 2009 The problem of restoration of digital images from their degraded measurements plays a central role in a multitude of practically important applications.
Michailovich, Oleg
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson +20 more
wiley +1 more source