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20072026
most citedA combined first and second order variational approach for image reconstruction

297 citations · 1.5k across the 199 of their papers we have counts for

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Showing 2014Show all

6 papers · 1 filter

math.NA2014

Analysis and Application of a non-local Hessian

Jan Lellmann, Konstantinos Papafitsoros, Carola Schoenlieb +1

In this work we introduce a formulation for a non-local Hessian that combines the ideas of higher-order and non-local regularization for image restoration, extending the idea of no…

cs.CV2014★ 26 cited

Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests

Juheon Lee, Xiaohao Cai, Carola-Bibiane Schonlieb +1

There is much current interest in using multi-sensor airborne remote sensing to monitor the structure and biodiversity of forests. This paper addresses the application of non-param…

cs.CV2014★ 106 cited

Variational Depth from Focus Reconstruction

Michael Moeller, Martin Benning, Carola Schönlieb +1

This paper deals with the problem of reconstructing a depth map from a sequence of differently focused images, also known as depth from focus or shape from focus. We propose to sta…

cs.CV2014★ 105 cited

Imaging with Kantorovich-Rubinstein discrepancy

Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb +1

We propose the use of the Kantorovich-Rubinstein norm from optimal transport in imaging problems. In particular, we discuss a variational regularisation model endowed with a Kantor…

math.OC2014★ 2 cited

Dynamic sampling schemes for optimal noise learning under multiple nonsmooth constraints

Luca Calatroni, Juan Carlos De Los Reyes, Carola-Bibiane Schönlieb

We consider the bilevel optimisation approach proposed by De Los Reyes, Schönlieb (2013) for learning the optimal parameters in a Total Variation (TV) denoising model featuring for…

math.NA2014★ 5 cited

Total Variation Regularisation in Measurement and Image space for PET reconstruction

Martin Burger, Jahn Müller, Evangelos Papoutsellis +1

The aim of this paper is to test and analyze a novel technique for image reconstruction in positron emission tomography, which is based on (total variation) regularization on both…