Variational regularisation for inverse problems with imperfect forward operators and general noise models

Solution Paths of Variational Regularization Methods for Inverse Problems

(2019) Leon Bungert et al.   INVERSE PROBLEMS

Modern regularization methods for inverse problems

(2018) Martin Benning et al.   ACTA NUMERICA

Convergence rates and structure of solutions of inverse problems with imperfect forward models

(2018) Martin Burger et al.   INVERSE PROBLEMS

Automated parameter selection in the ${L}^{1} \mbox{-} {L}^{2}$-TV model for removing Gaussian plus impulse noise

(2017) Andreas Langer   INVERSE PROBLEMS

Infimal Convolution of Data Discrepancies for Mixed Noise Removal

(2017) Luca Calatroni et al.   SIAM Journal on Imaging Sciences

Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation

(2016) Hemant Kumar Aggarwal et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

$f$ -Divergence Inequalities

(2016) Igal Sason et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Geometric properties of solutions to the total variation denoising problem

(2016) Antonin Chambolle et al.   INVERSE PROBLEMS

Inverse problems with Poisson data: statistical regularization theory, applications and algorithms

(2016) Thorsten Hohage et al.   INVERSE PROBLEMS

Diffusion Tensor Imaging with Deterministic Error Bounds

(2016) Artur Gorokh et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Making use of a partial order in solving inverse problems: II.

(2014) Yury Korolev   INVERSE PROBLEMS

A locally adaptive L1−L2 norm for multi-frame super-resolution of images with mixed noise and outliers

(2014) Linwei Yue et al.   SIGNAL PROCESSING

A double regularization approach for inverse problems with noisy data and inexact operator

(2013) Ismael Rodrigo Bleyer et al.   INVERSE PROBLEMS

Making use of a partial order in solving inverse problems

(2013) Yury Korolev et al.   INVERSE PROBLEMS

Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed $L^1/L^2$ Data-Fidelity in Image Processing

(2013) Michael Hintermüller et al.   SIAM Journal on Imaging Sciences

Convergence rates in expectation for Tikhonov-type regularization of inverse problems with Poisson data

(2012) Frank Werner et al.   INVERSE PROBLEMS

Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data

(2012) Thorsten Hohage et al.   NUMERISCHE MATHEMATIK

The residual method for regularizing ill-posed problems

(2011) Markus Grasmair et al.   APPLIED MATHEMATICS AND COMPUTATION

Linear convergence rates for Tikhonov regularization with positively homogeneous functionals

(2011) Markus Grasmair   INVERSE PROBLEMS

On the interplay of source conditions and variational inequalities for nonlinear ill-posed problems

(2010) Bernd Hofmann et al.   APPLICABLE ANALYSIS

Discretization of variational regularization in Banach spaces

(2010) Christiane Pöschl et al.   INVERSE PROBLEMS

On the generalized discrepancy principle for Tikhonov regularization in Hilbert scales

(2010) S. Lu et al.   Journal of Integral Equations and Applications