Combined first and second order variational approaches for image processing
G Steidl - Jahresbericht der Deutschen Mathematiker …, 2015 - Springer
Variational methods in imaging are nowadays developing towards a quite universal and
flexible tool, allowing for highly successful approaches on tasks like image restoration …
flexible tool, allowing for highly successful approaches on tasks like image restoration …
Priors with coupled first and second order differences for manifold-valued image processing
We generalize discrete variational models involving the infimal convolution (IC) of first and
second order differences and the total generalized variation (TGV) to manifold-valued …
second order differences and the total generalized variation (TGV) to manifold-valued …
Time-harmonic optical flow with applications in elastography
In this paper, we propose mathematical models for reconstructing the optical flow in time-
harmonic elastography. In this image acquisition technique, the object undergoes a special …
harmonic elastography. In this image acquisition technique, the object undergoes a special …
A sparse optimization approach to infinite infimal convolution regularization
In this paper we introduce the class of infinite infimal convolution functionals and apply these
functionals to the regularization of ill-posed inverse problems. The proposed regularization …
functionals to the regularization of ill-posed inverse problems. The proposed regularization …
Strain analysis by a total generalized variation regularized optical flow model
In this paper, we deal with the problem of estimating the local strain tensor from a sequence
of micro-structural images realized during deformation tests of engineering materials. Since …
of micro-structural images realized during deformation tests of engineering materials. Since …
Infimal convolution coupling of first and second order differences on manifold-valued images
Recently infimal convolution type functions were used in regularization terms of variational
models for restoring and decomposing images. This is the first attempt to generalize the …
models for restoring and decomposing images. This is the first attempt to generalize the …
[PDF][PDF] CHARACTERIZATION OF THE LOCAL DEFORMATION BEHAVIOR OF ALUMINUM MATRIX COMPOSITES BY IN SITU SEM METHODS
CHARACTERIZATION OF THE LOCAL DEFORMATION BEHAVIOR OF ALUMINUM
MATRIX COMPOSITES BY IN SITU SEM METHODS Page 1 21st International Conference …
MATRIX COMPOSITES BY IN SITU SEM METHODS Page 1 21st International Conference …
Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images
G Steidl - Scale Space and Variational Methods in Computer …, 2017 - books.google.com
Recently infimal convolution type functions were used in regularization terms of variational
models for restoring and decomposing images. This is the first attempt to generalize the …
models for restoring and decomposing images. This is the first attempt to generalize the …
[PDF][PDF] Preface Issue 2-2015
B Ch - 2015 - mathematik.de
Friedrich Hirzebruch, who died in 2012 at the age of 84, was one of the most important
German mathematicians of the second half of the twentieth century. This applies not only to …
German mathematicians of the second half of the twentieth century. This applies not only to …
[PDF][PDF] An Intrinsic Model for the Infimal Convolution of First and Second Order Differences on Manifold-Valued Images
Infimal convolution type functions were successfully applied in regularization terms of
variational models for restoring and decomposing images. In this paper, we generalize the …
variational models for restoring and decomposing images. In this paper, we generalize the …