Computational methods for large-scale inverse problems: a survey on hybrid projection methods
This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …
and variational regularization methods for large-scale inverse problems. Iterative methods …
A new alternating minimization algorithm for total variation image reconstruction
We propose, analyze, and test an alternating minimization algorithm for recovering images
from blurry and noisy observations with total variation (TV) regularization. This algorithm …
from blurry and noisy observations with total variation (TV) regularization. This algorithm …
A direct algorithm for 1-D total variation denoising
L Condat - IEEE Signal Processing Letters, 2013 - ieeexplore.ieee.org
A very fast noniterative algorithm is proposed for denoising or smoothing one-dimensional
discrete signals, by solving the total variation regularized least-squares problem or the …
discrete signals, by solving the total variation regularized least-squares problem or the …
A fast algorithm for edge-preserving variational multichannel image restoration
Variational models with \ell_1-norm based regularization, in particular total variation (TV)
and its variants, have long been known to offer superior image restoration quality, but …
and its variants, have long been known to offer superior image restoration quality, but …
Higher degree total variation (HDTV) regularization for image recovery
We introduce novel image regularization penalties to overcome the practical problems
associated with the classical total variation (TV) scheme. Motivated by novel …
associated with the classical total variation (TV) scheme. Motivated by novel …
Efficient minimization method for a generalized total variation functional
P Rodríguez, B Wohlberg - IEEE Transactions on Image …, 2008 - ieeexplore.ieee.org
Replacing the lscr 2 data fidelity term of the standard total variation (TV) functional with an
lscr 1 data fidelity term has been found to offer a number of theoretical and practical benefits …
lscr 1 data fidelity term has been found to offer a number of theoretical and practical benefits …
Evaluation of radiomic texture feature error due to MRI acquisition and reconstruction: a simulation study utilizing ground truth
F Yang, N Dogan, R Stoyanova, JC Ford - Physica Medica, 2018 - Elsevier
The purpose of this study was to examine the dependence of image texture features on MR
acquisition parameters and reconstruction using a digital MR imaging phantom. MR signal …
acquisition parameters and reconstruction using a digital MR imaging phantom. MR signal …
A TV forward-looking super-resolution imaging method based on TSVD strategy for scanning radar
Y Zhang, X Tuo, Y Huang, J Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Because of the poor performance of the conventional total variation (TV) super-resolution
imaging method in low signal-to-noise ratio (SNR) condition, a TV super-resolution imaging …
imaging method in low signal-to-noise ratio (SNR) condition, a TV super-resolution imaging …
A balanced combination of Tikhonov and total variation regularizations for reconstruction of piecewise-smooth signals
A Gholami, SM Hosseini - Signal Processing, 2013 - Elsevier
This paper introduces a novel method to combine total variation and ℓ2 regularizations to
reconstruct piecewise smooth signals. The main idea is to consider the signal as a sum of …
reconstruct piecewise smooth signals. The main idea is to consider the signal as a sum of …
An Efficient Alternating Algorithm for the Lₚ-Norm Cross-Gradient Joint Inversion of Gravity and Magnetic Data Using the 2-D Fast Fourier Transform
An efficient algorithm for the-norm joint inversion of gravity and magnetic data using the
cross-gradient constraint is presented. The presented framework incorporates stabilizers …
cross-gradient constraint is presented. The presented framework incorporates stabilizers …