Variational Methods for Motion Deblurring with Still Background

Gradient descent for tikhonov functionals with sparsity constraints: Theory and numerical comparison of step size rules

Electronic Transactions on Numerical Analysis

Image sequence interpolation based on optical flow, segmentation, and optimal control

IEEE Transactions on Image Processing

Visualization of astronomical nebulae via distributed multi-GPU compressed sensing tomography

IEEE Transactions on Visualization and Computer Graphics

Beyond convergence rates: Exact recovery with the Tikhonov regularization with sparsity constraints

Inverse Problems

Image Sequence Interpolation Using Optimal Control

Mathematische Bildverarbeitung

Morozov’s Principle for the Augmented Lagrangian Method Applied to Linear Inverse Problems

A Projection Proximal-Point Algorithm for ℓ1Minimization

Compounds, Drugs and Mathematical Image Processing

Error estimates for joint Tikhonov and Lavrentiev regularization of constrained control problems

Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates

Sparse Deconvolution for Peak Picking and Ion Charge Estimation in Mass Spectrometry

A generalized conditional gradient method and its connection to an iterative shrinkage method

Convergence to Consensus by General Averaging

Elastic-net regularization: error estimates and active set methods

Greedy solution of ill-posed problems: Error bounds and exact inversion

Inverse Problems

Inline hologram reconstruction with sparsity constraints

On the role of sparsity in inverse problems

Journal of Inverse and Ill-Posed Problems

Optimal convergence rates for Tikhonov regularization in Besov scales

Journal of Inverse and Ill-Posed Problems

Regularization with non-convex separable constraints

Wirkstoffe, Medikamente und Mathematische Bildverarbeitung

A semismooth Newton method for Tikhonov functionals with sparsity constraints

Inverse Problems

Convergence rates and source conditions for Tikhonov regularization with sparsity constraints

Journal of Inverse and Ill-Posed Problems

Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints