Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Gilles Aubert"'
Publikováno v:
Journal of Imaging, Vol 7, Iss 12, p 266 (2021)
Gridless sparse spike reconstruction is a rather new research field with significant results for the super-resolution problem, where we want to retrieve fine-scale details from a noisy and filtered acquisition. To tackle this problem, we are interest
Externí odkaz:
https://doaj.org/article/91cac72678a44ad1bbfeb8373ef4bf75
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2002, Iss 6, Pp 572-581 (2002)
We propose a 3-step algorithm for the automatic detection of moving objects in video sequences using region-based active contours. First, we introduce a very full general framework for region-based active contours with a new Eulerian method to comput
Externí odkaz:
https://doaj.org/article/0f7450d9c3b34fac9b381d66929d8a90
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
14009, Springer International Publishing, pp.393-405, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-31975-4_30⟩
14009, Springer International Publishing, pp.393-405, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-31975-4_30⟩
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c1c07e8c81cf753fa2fa69d3071c6a
https://doi.org/10.1007/978-3-031-31975-4_30
https://doi.org/10.1007/978-3-031-31975-4_30
Publikováno v:
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
ICASSP 2022-IEEE International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2022-IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9746845⟩
HAL
ICASSP 2022-IEEE International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2022-IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9746845⟩
HAL
Super-resolution fluorescence microscopy overcomes blurring arising from light diffraction, allowing the reconstruction of fine scale details in biological structures. Standard methods come at the expense of long acquisition time and/or harmful effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a004b74a9dd1eb1fd581db28416af4d2
https://hal.archives-ouvertes.fr/hal-03374295
https://hal.archives-ouvertes.fr/hal-03374295
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2021
Journal of Mathematical Imaging and Vision, 2021, 63, pp.472-491. ⟨10.1007/s10851-020-01014-y⟩
Journal of Mathematical Imaging and Vision, Springer Verlag, 2021
Journal of Mathematical Imaging and Vision, 2021, 63, pp.472-491. ⟨10.1007/s10851-020-01014-y⟩
International audience; We focus on the minimization of the least square loss function under a k-sparse constraint with a 0 pseudo-norm. This is a non-convex, non-continuous and NP-hard problem. Recently, for the penalized form (sum of the least squa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e464f95c5a190e995dfe140ce3fdfea
https://hal.inria.fr/hal-02556394/document
https://hal.inria.fr/hal-02556394/document
Publikováno v:
Biomedical optics express
Biomedical optics express, 2020, 11 (2), pp.1153. ⟨10.1364/BOE.381666⟩
Biomedical optics express, Optical Society of America-OSA Publishing, 2020, 11 (2), pp.1153. ⟨10.1364/BOE.381666⟩
Biomedical optics express, 2020, 11 (2), pp.1153. ⟨10.1364/BOE.381666⟩
Biomedical optics express, Optical Society of America-OSA Publishing, 2020, 11 (2), pp.1153. ⟨10.1364/BOE.381666⟩
Among the many super-resolution techniques for microscopy, single-molecule localization microscopy methods are widely used. This technique raises the difficult question of precisely localizing fluorophores from a blurred, under-resolved, and noisy ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76195078fc27970193b0471cde74dd8
https://hal.inria.fr/hal-02556389/document
https://hal.inria.fr/hal-02556389/document
Publikováno v:
Biomedical optics express. 11(2)
Among the many super-resolution techniques for microscopy, single-molecule localization microscopy methods are widely used. This technique raises the difficult question of precisely localizing fluorophores from a blurred, under-resolved, and noisy ac
Publikováno v:
SIAM Journal on Optimization
SIAM Journal on Optimization, 2017, 27 (3), ⟨10.1137/16M1059333⟩
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2017, 27 (3), ⟨10.1137/16M1059333⟩
SIAM Journal on Optimization, 2017, 27 (3), ⟨10.1137/16M1059333⟩
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2017, 27 (3), ⟨10.1137/16M1059333⟩
International audience; Numerous nonconvex continuous penalties have been proposed to approach the l0 pseudo-norm for optimization purpose. Apart from the theoretical results for convex l1 relaxation under restrictive hypothesis, only few works have
Publikováno v:
Biomedical Imaging (ISBI), 2019 IEEE 16th International Symposium on
ISBI 2019-IEEE International Symposium on Biomedical Imaging
ISBI 2019-IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨10.1109/ISBI.2019.8759567⟩
ISBI
ISBI 2019-IEEE International Symposium on Biomedical Imaging
ISBI 2019-IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨10.1109/ISBI.2019.8759567⟩
ISBI
International audience; We present in this paper a biconvex reformulation of an $\ell_2-\ell_0$ problem composed of a least-square data term plus a sparsity term introduced as a constraint or a penalization. Minimization algorithms are derived and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe3c584a1e1ab8c139e38db817b6a031
https://hal.inria.fr/hal-02107577
https://hal.inria.fr/hal-02107577
Publikováno v:
Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP).
We focus on the problem of minimizing a least-squares loss function under a k-sparse constraint. We investigate the continuous relaxation approach as well as optimization algorithms to apply on Single Molecule Localization Microscopy.