S. Henn and K. Witsch. A multigrid approach for minimizing a nonlinear functional for digital image matching. Computing, 64(4):339--348, 2000. Home/Search Document Details and Download
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A General Framework for Nonlinear Multigrid Inversion - Oh, Milstein, Bouman, Webb (Correct)
.... multigrid methods has been used to expedite convergence in various image processing problems, for example, lightness computation [31] shape from shading [31] optical flow estimation [31] 32] 33] 34] adaptive smoothing of signals [35] multispectral MRI image analysis [36] image matching [37], image restoration [38] and anisotropic diffusion [39] More recently, multigrid algorithms have been used to solve image reconstruction problems. Bouman and Sauer showed that nonlinear multigrid algorithms could be applied to inversion of Bayesian tomography problems [40] This work used ....
S. Henn and K. Witsch, "A multigrid approach for minimizing a nonlinear functional for digitial image matching," Computing, vol. 64, pp. 339--348, 2000.
Proceedings of the 17 - Th Gamm-Seminar Leipzig Self-citation (Henn Witsch) (Correct)
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S. Henn and K. Witsch. A multigrid-approach for minimizing a nonlinear functional for digital image matching. Computing, 64(4):339-348, 1999.
Relations Between Optimization and Gradient Ow Methods .. - Clarenz, Henn, Rumpf, .. Self-citation (Henn Witsch) (Correct)
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S. Henn and K. Witsch. A multigrid-approach for minimizing a nonlinear functional for digital image matching. Computing, 64(4):339-348, 1999.
On Variational Problems and Gradient Flows in Image Processing - Der Fakultt Der (Correct)
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S. Henn and K. Witsch. A multigrid approach for minimizing a nonlinear functional for digital image matching. Computing, 64(4):339--348, 2000.
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S. Henn and K. Witsch, A multigrid approach for minimizing a nonlinear functional for digital image matching, Computing, 64 (2000), pp. 339--348.
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