Andreas Langer

Sökresultat

• 2023

  A primal-dual finite element method for scalar and vectorial total variation minimization

  Hilb, S., Langer, A. & Alkämper, M., 2023, I: Journal of Scientific Computing. 96, 1, 33 s., 24.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  Öppen tillgång

  • Finite Element Method 100%
  • Scalar 50%
  • Regularization 50%
  • Numerical Solution 50%
  • Duality 50%
• 2019

  Locally adaptive total variation for removing mixed Gaussian–impulse noise

  Langer, A., 2019 feb. 1, I: International Journal of Computer Mathematics. 96, 2, s. 298-316 19 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Variation 100%
  • Parameter 100%
  • Term 66%
  • Optimization 66%
  • Algorithm 66%

• Overlapping domain decomposition methods for total variation denoising

  Langer, A. & Gaspoz, F., 2019, I: SIAM Journal on Numerical Analysis. 57, 3, s. 1411-1444 34 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Decomposition Method 100%
  • Numerical Experiment 20%
  • Dual Space 20%
• 2018

  Investigating the influence of box-constraints on the solution of a total variation model via an efficient primal-dual method

  Langer, A., 2018, I: Journal of Imaging. 4, 1, 12.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  Öppen tillgång

  • Primal-Dual 100%
  • Regularization 50%
  • Optimization Problem 33%
  • Regularization Parameter 33%
  • Computing 33%
• 2017

  Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests

  Hintermüller, M., Rautenberg, C. N., Wu, T. & Langer, A., 2017 nov. 1, I: Journal of Mathematical Imaging and Vision. 59, 3, s. 515-533 19 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Selection 100%
  • Regularization 100%
  • Convergence Analysis 50%
  • Wavelet 50%
  • Fourier Matrix 50%

• Automated parameter selection in the L¹-L²-TV model for removing Gaussian plus impulse noise

  Langer, A., 2017 juni 21, I: Inverse Problems. 33, 7, 074002.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Models 100%
  • Gaussians 100%
  • TV 100%
  • Selection 100%
  • Gaussian Distribution 100%

• Using DUNE-ACFem for Non-smooth Minimization of Bounded Variation Functions

  Alkämper, M. & Langer, A., 2017 apr. 3, I: Archive of Numerical Software. 5, 1

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  Öppen tillgång

  • Bounded Variation Function 100%

• Automated Parameter Selection for Total Variation Minimization in Image Restoration

  Langer, A., 2017 feb. 1, I: Journal of Mathematical Imaging and Vision. 57, 2, s. 239-268 30 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Minimization 100%
  • Image Restoration 100%
  • Selection 100%
  • Models 60%
  • Multiscale 40%
• 2014

  Non-Overlapping Domain Decomposition Methods For Dual Total Variation Based Image Denoising

  Hintermüller, M. & Langer, A., 2014 feb., I: Journal of Scientific Computing. 62, 2, s. 456-481 26 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Decomposition Method 100%
  • Numerical Experiment 50%
  • Subproblem 50%
  • Newton's Method 50%
• 2013

  Subspace correction methods for a class of nonsmooth and nonadditive convex variational problems with mixed L¹/L² data-fidelity in image processing

  Hintermüller, M. & Langer, A., 2013 okt. 30, I: SIAM Journal on Imaging Sciences. 6, 4, s. 2134-2173 40 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Class 100%
  • Variational Problem 100%
  • Regularization 25%
  • Numerical Experiment 25%
  • Global Solution 25%

• Bregmanized domain decomposition for image restoration

  Langer, A., Osher, S. & Schönlieb, C. B., 2013 feb., I: Journal of Scientific Computing. 54, 2-3, s. 549-576 28 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Image Restoration 100%
  • Algorithms 75%
  • Minimization Problem 75%
  • Iteration 50%
  • Subproblem 50%
• 2012

  Wavelet decomposition method for L₂/TV-image deblurring

  Fornasier, M., Kim, Y., Langer, A. & Schönlieb, C. B., 2012, I: SIAM Journal on Imaging Sciences. 5, 3, s. 857-885 29 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  • Decomposition Method 100%
  • Wavelet 100%
  • Converges 33%
  • Counterexample 33%
  • Minimizing 33%
• 2010

  A convergent overlapping domain decomposition method for total variation minimization

  Fornasier, M., Langer, A. & Schönlieb, C. B., 2010, I: Numerische Mathematik. 116, 4, s. 645-685 41 s.

  Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

  Öppen tillgång

  • Decomposition Method 100%
  • Nonlinear 33%
  • Constant 33%
  • Interpolation 33%
  • Piecewise 33%