Publications 2012

  • Altundag Ahmet, Kress Rainer:
    On a two-dimensional inverse scattering problem for a dielectric,
    Applicable Analysis, vol.91, p.757-771.

  • Altundag Ahmet, Kress Reiner:
    An iterative method for a two-dimensional inverse scattering problem for a dielectric,
    Journal on Inverse and Ill-Posed Problems, vol.20, p.575-590.

  • C. Gottschlich and C.-B. Schönlieb:
    Anisotropic Diffusion Filtering with A-priori Estimated Orientation Field for Enhancing Low-quality Fingerprint Images,
    IET Biometrics, vol.1, p.105--113.

  • Carsten Gottschlich and Carola-Bibiane Schönlieb:
    Oriented Diffusion Filtering for Enhancing Low-quality Fingerprint Images,
    IET Biometrics, vol.2, p.105-113.

  • Carsten Gottschlich:
    Curved Regions Based Ridge Frequency Estimation and Curved Gabor Filters for Fingerprint Image Enhancement,
    IEEE Transactions on Image Processing, vol.21(4), p.2220-2227.

  • Dennis Heinen and Gerlind Plonka:
    Wavelet shrinkage on paths for denoising of scattered data,
    Results in Mathematics, vol.62(3), p.337-354.

  • F. Boßmann; G. Plonka; T. Peter; O .Nemitz and T. Schmitte:
    Sparse Deconvolution Methods for Ultrasonic NDT,
    Journal of Nondestructive Evaluation, vol.31(3), p.225-244.

  • F. Werner:
    Inverse Problems with Poisson Data,
    Computational Inverse Problems, vol.9, p.3115-3116,
    Oberwolfach Reports.

  • Frank Werner and Thorsten Hohage:
    Convergence rates in expectation for Tikhonov-type regularization of inverse problems with Poisson data,
    Inverse Problems, vol.28(10), p.104004,
    http://stacks.iop.org/0266-5611/28/i=10/a=104004.

  • Frick, K.; Marnitz, P. and Munk, A. :
    Shape Constrained Regularisation by Statistical Multiresolution for Inverse Problems,
    Inverse Problems, vol.28, p.065006.

  • Frick, K.; Marnitz, P. and Munk, A.:
    Statistical Multiresolution Dantzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework,
    Electron. J. Stat, vol.6, p.231-268.

  • Frick,K. and Marnitz,P.:
    A Statistical Multiresolution Strategy for Image Reconstruction,
    LNCS, vol.6667, p.74--85.

  • Hotz, T.; Marnitz, P.; Stichtenoth, R.; Davies, L.; Kabluchko, Z. and Munk, A.:
    Locally adaptive image denoising by a statistical multiresolution criterion,
    Computational Statistics & Data Analysis, vol.56(3), p.543-558.

  • J. Löwe and G. Lube:
    A projection-based variational multiscale method for large eddy simulation with application to non-isothermal free-convection problems,
    Math. Model. Meths. Appl. Sc., vol.22, p.31pp.

  • M. Burger; M. Franek and C.-B. Schönlieb:
    Density estimation and smoothing based on regularised optimal transport,
    Appl. Math. Res. Express (AMRX), vol.2, p.209-253.

  • M. Fornasier; Y. Kim; A. Langer, and C.-B. Schönlieb:
    Wavelet Decomposition Method for $L_2$/TV-Image Deblurring,
    SIAM J. Imaging Sciences, vol.5, p.857--885.

  • M. Kronbichler; T. Heister and W. Bangerth:
    High Accuracy Mantle Convection Simulation through Modern Numerical Methods,
    Geophysical Journal International, vol.191, p.12-29.

  • M.-C. Körner; H. Martini and A. Schöbel:
    Minisum Hyperspheres in Normed Spaces,
    Discrete Applied Mathematics, vol.16(15), p.2221-2233.

  • Malte Braack; Gert Lube and Lars Röhe:
    Divergence preserving interpolation on anisotropic quadrilateral meshes,
    Computational Methods in Applied Mathematics, vol.12(2), p.123--138.

  • Oesting, Marco; Kabluchko, Zakhar and Schlather, Martin:
    Simulation of Brown-Resnick processes,
    Extremes, vol.15(1), p.89-107.

  • Robert Stück; Martin Burger and Thorsten Hohage:
    The iteratively regularized Gauß-Newton method with convex constraints and applications in 4Pi microscopy,
    Inverse Problems, vol.28, p.015012 (16pp).

  • Strokorb, Kirstin and Schlather, Martin:
    Characterizing extremal coefficient functions and extremal correlation functions,
    http://arxiv.org/abs/1205.1315,
    submitted.

  • Wübker, A.:
    Spectral theory for weakly reversible Markov chains.,
    J. Appl. Probab., vol.49, p.245-265.