Tomography

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The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Martin Kurt Storath

We investigate the nonsmooth and nonconvex

L ^{ 1 }

-Potts functional in discrete and continuous time. We show Γ-convergence of discrete

L ^{ 1 }

-Potts functionals toward their continuous counterpart and obtain a convergence statement for the corr ...

SIAM2015

Tomography

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The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction

Structured Sampling and Recovery of iEEG Signals

LOD Generation for Urban Scenes

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

Extension of ultrasound Fourier slice Imaging theory to sectorial acquisition

High-Precision MRI Reconstruction Algorithm for 3D Sphere Packings

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

The L-1-Potts Functional For Robust Jump-Sparse Reconstruction

Compressed Quantitative MRI: Bloch Response Recovery through iterated projection

MR Image Reconstruction from Generalized Projections

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

LOD Generation for Urban Scenes

Extension of ultrasound Fourier slice Imaging theory to sectorial acquisition

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

High-Precision MRI Reconstruction Algorithm for 3D Sphere Packings

The L-1-Potts Functional For Robust Jump-Sparse Reconstruction

Compressed Quantitative MRI: Bloch Response Recovery through iterated projection

MR Image Reconstruction from Generalized Projections

Structured Sampling and Recovery of iEEG Signals

The $ L ^{ 1 } $ -Potts Functional for Robust Jump-Sparse Reconstruction