Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Cedric Vonesch"'
Autor:
Morteza H. Shoreh, Michael Unser, Demetri Psaltis, Alexandre Goy, Ioannis N. Papadopoulos, Cedric Vonesch, Ulugbek S. Kamilov
Publikováno v:
IEEE Transactions on Computational Imaging. 2:59-70
Optical tomographic imaging requires an accurate forward model as well as regularization to mitigate missing-data artifacts and to suppress noise. Nonlinear forward models can provide more accurate interpretation of the measured data than their linea
Autor:
Denis Fortun, Guillaume Schmit, Cedric Vonesch, Romain Guiet, Ferréol Soulez, Michael Unser, Daniel Sage, Arne Seitz, Laurène Donati
Publikováno v:
Methods
Methods, Elsevier, 2017, 115, pp.28-41. ⟨10.1016/j.ymeth.2016.12.015⟩
Methods, 2017, 115, pp.28-41. ⟨10.1016/j.ymeth.2016.12.015⟩
Methods, Elsevier, 2017, 115, pp.28-41. ⟨10.1016/j.ymeth.2016.12.015⟩
Methods, 2017, 115, pp.28-41. ⟨10.1016/j.ymeth.2016.12.015⟩
International audience; Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of light. The purpose of deconvolution microscopy is to compensate numerically for this degradation. Deconvolution is widely used to rest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9fe76b43dc6c9a0dadb00c78e7415fb
https://hal-insu.archives-ouvertes.fr/insu-01632774/document
https://hal-insu.archives-ouvertes.fr/insu-01632774/document
Publikováno v:
Journal of Climate. 26:9713-9726
Interannual to multidecadal variability of winter storminess in the eastern United States was studied using water level measurements from coastal tide gauges. The proximity to the coast of the primary winter storm track in the region allows the use o
Autor:
Alexandre Goy, I. N. Papadopoulos, M. Hasani Shoreh, Demetri Psaltis, Cedric Vonesch, Ulugbek S. Kamilov, Michael Unser
Publikováno v:
Imaging and Applied Optics 2016.
Imaging systems can be designed using examples and methods similar to the techniques used in deep learning. We describe experimental results demonstrating optical tomography based on the learning approach.
Autor:
Michael Unser, Cedric Vonesch
Publikováno v:
IEEE Transactions on Image Processing. 18:509-523
We present a multilevel extension of the popular ldquothresholded Landweberrdquo algorithm for wavelet-regularized image restoration that yields an order of magnitude speed improvement over the standard fixed-scale implementation. The method is gener
Publikováno v:
IEEE Transactions on Signal Processing. 55:4415-4429
We present a generalization of the orthonormal Daubechies wavelets and of their related biorthogonal flavors (Cohen-Daubechies-Feauveau, 9⁄7). Our fundamental constraint is that the scaling functions should reproduce a predefined set of exponential
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 25(2)
We propose a framework for the detection of junctions in images. Although the detection of edges and key points is a well examined and described area, the multiscale detection of junction centers, especially for odd orders, poses a challenge in patte
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 24(11)
Kaiser–Bessel window functions are frequently used to discretize tomographic problems because they have two desirable properties: 1) their short support leads to a low computational cost and 2) their rotational symmetry makes their imaging transfor
Autor:
Peter Modregger, Stamatios Lefkimmiatis, Cedric Vonesch, Marco Stampanoni, Michael Unser, Masih Nilchian
Publikováno v:
Optics Express
In this paper we introduce a new reconstruction algorithm for X-ray differential phase-contrast Imaging (DPCI). Our approach is based on 1) a variational formulation with a weighted data term and 2) a variable-splitting scheme that allows for fast co
Publikováno v:
ISBI
We introduce a general and computationally efficient approach to 3-D localization microscopy. The main idea is to construct a continuous-domain representation of the PSF by expanding it in a polynomial B-spline basis. This allows us to fit the PSF to