Zobrazeno 1 - 10
of 94
pro vyhledávání: '"BELHACHMI, ZAKARIA"'
Autor:
Belhachmi, Zakaria, Jacumin, Thomas
We consider a shape optimization based method for finding the best interpolation data in the compression of images with noise. The aim is to reconstruct missing regions by means of minimizing a data fitting term in an $L^p$-norm between original imag
Externí odkaz:
http://arxiv.org/abs/2302.02665
Autor:
Belhachmi, Zakaria, Jacumin, Thomas
We consider some iterative methods for finding the best interpolation data in the images compression with noise. The interpolation data consists of the set of pixels and their grey/color values. The aim in the iterative approach is to allow the chang
Externí odkaz:
http://arxiv.org/abs/2209.14706
Autor:
Belhachmi, Zakaria, Jacumin, Thomas
We introduce and discuss shape-based models for finding the best interpolation data in the compression of images with noise. The aim is to reconstruct missing regions by means of minimizing a data fitting term in the $L^2$-norm between the images and
Externí odkaz:
http://arxiv.org/abs/2202.10702
Autor:
Belhachmi, Zakaria, Jacumin, Thomas
We introduce and discuss shape based models for finding the best interpolation data in compression of images with noise. The aim is to reconstruct missing regions by means of minimizing data fitting term in the $L^2$-norm between the images and their
Externí odkaz:
http://arxiv.org/abs/2011.02363
Akademický článek
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Autor:
Belhachmi, Zakaria, Chill, Ralph
We consider a general, nonlinear version of the bidomain system. Using the gradient structure of this system, but also the notion of $j$-subgradient, we prove wellposedness of the bidomain system in the energy space and provide first numerical experi
Externí odkaz:
http://arxiv.org/abs/1804.08272
Autor:
Belhachmi, Zakaria1 (AUTHOR), Jacumin, Thomas2 (AUTHOR) thomas.jacumin@math.lth.se
Publikováno v:
Asymptotic Analysis. Oct2024, p1-28. 28p.
This paper investigates photoacoustic tomography with two spatially varying acoustic parameters, the compressibility and the density. We consider the reconstruction of the absorption density parameter (imaging parameter of Photoacoustics) with comple
Externí odkaz:
http://arxiv.org/abs/1512.07411
Publikováno v:
In Mathematics and Computers in Simulation July 2021 185:174-193
We consider a variational method to solve the optical flow problem with varying illumination. We apply an adaptive control of the regularization parameter which allows us to preserve the edges and fine features of the computed flow. To reduce the com
Externí odkaz:
http://arxiv.org/abs/1508.02977