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pro vyhledávání: '"Hoeltgen, Laurent"'
Laplace interpolation is a popular approach in image inpainting using partial differential equations. The classic approach considers the Laplace equation with mixed boundary conditions. Recently a more general formulation has been proposed where the
Externí odkaz:
http://arxiv.org/abs/1801.09068
Estimating shape and appearance of a three dimensional object from a given set of images is a classic research topic that is still actively pursued. Among the various techniques available, PS is distinguished by the assumption that the underlying inp
Externí odkaz:
http://arxiv.org/abs/1709.10437
Finding optimal data for inpainting is a key problem in the context of partial differential equation based image compression. The data that yields the most accurate reconstruction is real-valued. Thus, quantisation models are mandatory to allow an ef
Externí odkaz:
http://arxiv.org/abs/1706.06347
This paper presents a novel approach to distinguish driving styles with respect to their energy efficiency. A distinct property of our method is that it relies exclusively on Global Positioning System (GPS) logs of drivers. This setting is highly rel
Externí odkaz:
http://arxiv.org/abs/1610.02815
We present a strategy for the recovery of a sparse solution of a common problem in acoustic engineering, which is the reconstruction of sound source levels and locations applying microphone array measurements. The considered task bears similarities t
Externí odkaz:
http://arxiv.org/abs/1607.00171
Autor:
Hoeltgen, Laurent, Breuß, Michael
Bregman iterations are known to yield excellent results for denoising, deblurring and compressed sensing tasks, but so far this technique has rarely been used for other image processing problems. In this paper we give a thorough description of the Br
Externí odkaz:
http://arxiv.org/abs/1510.01130
Autor:
Hoeltgen, Laurent, Mainberger, Markus, Hoffmann, Sebastian, Weickert, Joachim, Tang, Ching Hoo, Setzer, Simon, Johannsen, Daniel, Neumann, Frank, Doerr, Benjamin
Some recent methods for lossy signal and image compression store only a few selected pixels and fill in the missing structures by inpainting with a partial differential equation (PDE). Suitable operators include the Laplacian, the biharmonic operator
Externí odkaz:
http://arxiv.org/abs/1506.04566
Publikováno v:
In Signal Processing: Image Communication August 2016 46:40-53
Autor:
Hoeltgen, Laurent1 (AUTHOR) hoeltgen@b-tu.de, Kleefeld, Andreas2 (AUTHOR) a.kleefeld@fz-juelich.de, Harris, Isaac3 (AUTHOR) harri814@purdue.edu, Breuss, Michael1 (AUTHOR) breuss@b-tu.de
Publikováno v:
Applications of Mathematics. Jun2019, Vol. 64 Issue 3, p281-300. 20p.