Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Serena Morigi"'
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, 2022
Journal of Mathematical Imaging and Vision, 2022
Technologies for 3D data acquisition and 3D printing have enormously developed in the past few years, and, consequently, the demand for 3D virtual twins of the original scanned objects has increased. In this context, feature-aware denoising, hole fil
Publikováno v:
Signal Processing
Signal Processing, 2023, 205, ⟨10.1016/j.sigpro.2022.108866⟩
Signal Processing, 2023, 20
Signal Processing, 2023, 205, ⟨10.1016/j.sigpro.2022.108866⟩
Signal Processing, 2023, 20
International audience; We propose an adaptive, smooth, non-convex and sparsity-promoting variational model for singleimage super-resolution of real murine Optical Coherence Tomography (OCT) data. We follow a sparse-representation approach where spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1f7ef3f68a2dda6d69ee456c60faab
https://hal.science/hal-03594202v2/document
https://hal.science/hal-03594202v2/document
Publikováno v:
Applied Mathematics and Computation. 451:128031
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db0b482a8c0139b9bc4d8a101a9a91c8
https://doi.org/10.1007/978-3-031-31975-4_6
https://doi.org/10.1007/978-3-031-31975-4_6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7090fdfad24198e72d12cc39228451f3
https://doi.org/10.1007/978-3-031-31975-4_10
https://doi.org/10.1007/978-3-031-31975-4_10
Publikováno v:
Advances in Computational Mathematics. 49
This paper is devoted to the decomposition of images into cartoon, texture and noise components. A two-stage variational model is proposed which is parameter-free and both context- and noise-unaware. In the first stage, the additive white noise compo
We consider variational networks for a class of nonlinear-ill-posed least squares inverse problems. These problems are addressed by regularized Gauss-Newton type optimization algorithms where the regularization is learned by a neural network. Two dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::a7a20827b574882601bf44dec4df74b2
http://hdl.handle.net/11585/878821
http://hdl.handle.net/11585/878821
Publikováno v:
SIAM Journal on Imaging Sciences. 14:1749-1789
We propose a nonconvex variational decomposition model which separates a given image into piecewise-constant, smooth, and oscillatory components. This decomposition is motivated not only by image denoising and structure separation, but also by shadow
Publikováno v:
IEEE Transactions on Image Processing. 28:2785-2798
In this paper, we propose a Group-Sparse Representation-based method with applications to Face Recognition (GSR-FR). The novel sparse representation variational model includes a non-convex sparsity-inducing penalty and a robust non-convex loss functi