Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Berthoumieu P"'
Autor:
Berthoumieu, Jordan
In this article, we focus on the stability of dark solitons for a general one-dimensional nonlinear Schr\"odinger equation. More precisely, we prove the orbital stability of a chain of travelling waves whose speeds are well ordered, taken close to th
Externí odkaz:
http://arxiv.org/abs/2409.04277
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale images. However, when it comes to different scenes which contain disti
Externí odkaz:
http://arxiv.org/abs/2312.13506
Autor:
Berthoumieu, Jordan
This paper deals with the existence of travelling wave solutions for a general one-dimensional nonlinear Schr\"odinger equation. We construct these solutions by minimizing the energy under the constraint of fixed momentum. We also prove that the fami
Externí odkaz:
http://arxiv.org/abs/2305.17516
Single Image Super Resolution (SISR) methods aim to recover the clean images in high resolution from low resolution observations.A family of patch-based approaches have received considerable attention and development. The minimum mean square error (M
Externí odkaz:
http://arxiv.org/abs/2206.03069
Autor:
Zakariae Abbad, Ahmed Drissi El Maliani, Mohammed El Hassouni, Mohamed Tahar Kadaoui Abbassi, Lionel Bombrun, Yannick Berthoumieu
Publikováno v:
IEEE Access, Vol 12, Pp 26096-26109 (2024)
The space of symmetric positive definite (SPD) matrices, denoted as $P_{m}$ , plays a crucial role in various domains, including computer vision, medical imaging, and signal processing. Its significance lies in its capacity to represent the underlyin
Externí odkaz:
https://doaj.org/article/3c9fcfa37c424d50917b211145352fd9
Elliptically-contoured distributions (ECD) play a significant role, in computer vision, image processing, radar, and biomedical signal processing. Maximum likelihood. estimation (MLE) of ECD leads to a system of non-linear equations, most-often addre
Externí odkaz:
http://arxiv.org/abs/2011.02806
Autor:
Hertrich, Johannes, Nguyen, Dang Phoung Lan, Aujol, Jean-Fancois, Bernard, Dominique, Berthoumieu, Yannick, Saadaldin, Abdellatif, Steidl, Gabriele
Publikováno v:
Inverse Problems and Imaging, vol. 16, pp. 341-366, 2022
Despite the rapid development of computational hardware, the treatment of large and high dimensional data sets is still a challenging problem. This paper provides a twofold contribution to the topic. First, we propose a Gaussian Mixture Model in conj
Externí odkaz:
http://arxiv.org/abs/2009.07520
Autor:
Bouchard, Florent, Mian, Ammar, Zhou, Jialun, Said, Salem, Ginolhac, Guillaume, Berthoumieu, Yannick
A new Riemannian geometry for the Compound Gaussian distribution is proposed. In particular, the Fisher information metric is obtained, along with corresponding geodesics and distance function. This new geometry is applied on a change detection probl
Externí odkaz:
http://arxiv.org/abs/2005.10087
Publikováno v:
International Conference on Pattern Recognition (ICPR 2020)
Most of existing superpixel methods are designed to segment standard planar images as pre-processing for computer vision pipelines. Nevertheless, the increasing number of applications based on wide angle capture devices, mainly generating 360{\deg} s
Externí odkaz:
http://arxiv.org/abs/2004.07394
Autor:
Giraud, Rémi, Berthoumieu, Yannick
Superpixels are widely used in computer vision applications. Nevertheless, decomposition methods may still fail to efficiently cluster image pixels according to their local texture. In this paper, we propose a new Nearest Neighbor-based Superpixel Cl
Externí odkaz:
http://arxiv.org/abs/2003.04414