Veröffentlichungen 2012

  • Altundag Ahmet, Kress Rainer:
    On a two-dimensional inverse scattering problem for a dielectric,
    Applicable Analysis, Nr.91, S.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, Nr.20, S.575-590.

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

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

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

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

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

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

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

  • Frick, K.; Marnitz, P. und Munk, A. :
    Shape Constrained Regularisation by Statistical Multiresolution for Inverse Problems,
    Inverse Problems, Nr.28, S.065006.

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

  • Frick,K. und Marnitz,P.:
    A Statistical Multiresolution Strategy for Image Reconstruction,
    LNCS, Nr.6667, S.74--85.

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

  • J. Löwe und 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., Nr.22, S.31pp.

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

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

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

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

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

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

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

  • Strokorb, Kirstin und 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., Nr.49, S.245-265.