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20112024
most citedMaximum-A-Posteriori Estimates in Linear Inverse Problems with Log-concave Priors are Proper Bayes Estimators

55 citations · 598 across the 84 of their papers we have counts for

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Showing 2015 · math.NAShow all

6 papers · 2 filters

math.NA2015

On Optical Flow Models for Variational Motion Estimation

Martin Burger, Hendrik Dirks, Lena Frerking

The aim of this paper is to discuss and evaluate total variation based regularization methods for motion estimation, with particular focus on optical flow models. In addition to st…

math.NA2015★ 3 cited

A Nonlinear Variational Approach to Motion-Corrected Reconstruction of Density Images

Martin Burger, Jan Modersitzki, Sebastian Suhr

The aim of this paper is to establish a nonlinear variational approach to the reconstruction of moving density images from indirect dynamic measurements. Our approach is to model t…

math.NA2015★ 2 cited

Infimal Convolution Regularisation Functionals of BV and Spaces. The Case p

Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis +1

In this paper we analyse an infimal convolution type regularisation functional called , based on the total variation () and the $\mathrm{L}^{\in…

math.NA2015

Diffuse Interface Methods for Inverse Problems: Case Study for an Elliptic Cauchy Problem

Martin Burger, Ole Loseth Elvetun, Matthias Schlottbom

Many inverse problems have to deal with complex, evolving and often not exactly known geometries, e.g. as domains of forward problems modeled by partial differential equations. Thi…

math.NA2015★ 3 cited

Infimal convolution regularisation functionals of BV and spaces. Part I: The finite case

Martin Burger, Konstantinos Papafitsoros, Evangelos Papoutsellis +1

We study a general class of infimal convolution type regularisation functionals suitable for applications in image processing. These functionals incorporate a combination of the to…

math.NA2015

Spectral Representations of One-Homogeneous Functionals

Martin Burger, Lina Eckardt, Guy Gilboa +1

This paper discusses a generalization of spectral representations related to convex one-homogeneous regularization functionals, e.g. total variation or -norms. Those functi…