Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Françoise Dibos"'
Publikováno v:
EUSIPCO
Patch-based image denoising can be interpreted under the Bayesian framework which incorporates the image formation model and a prior image distribution. In the sparsity approach, the prior is often assumed to obey an arbitrarily chosen distribution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcc64645afe6347b6f4f31ca9f60580e
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319942100
ICISP
ICISP
When using Gaussian mixture models (GMMs) as a prior for image denoising under the Bayesian maximum a posteriori (MAP) perspective, only a single prominent Gaussian component is usually selected to recover a noisy image patch, which leads to computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af3da734d4a8a8a9139619aeb25450c
https://doi.org/10.1007/978-3-319-94211-7_13
https://doi.org/10.1007/978-3-319-94211-7_13
Autor:
Françoise Dibos, Canh-Duong Pham, Dinh Hoan Trinh, Marie Luong, Truong Q. Nguyen, Jean-Marie Rocchisani
Publikováno v:
IEEE Transactions on Image Processing. 23:1882-1895
In this paper, we propose a novel example-based method for denoising and super-resolution of medical images. The objective is to estimate a high-resolution image from a single noisy low-resolution image, with the help of a given database of high and
Publikováno v:
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2008, 32 (1), pp.73-87. ⟨10.1007/s10851-008-0086-1⟩
Journal of Mathematical Imaging and Vision, Springer Verlag, 2008, 32 (1), pp.73-87. 〈10.1007/s10851-008-0086-1〉
Journal of Mathematical Imaging and Vision, Springer Verlag, 2008, 32 (1), pp.73-87. ⟨10.1007/s10851-008-0086-1⟩
Journal of Mathematical Imaging and Vision, Springer Verlag, 2008, 32 (1), pp.73-87. 〈10.1007/s10851-008-0086-1〉
In this paper, we propose a global method for estimating the motion of a camera which films a static scene. Our approach is direct, fast and robust, and deals with adjacent frames of a sequence. It is based on a quadratic approximation of the deforma
Autor:
Dai-Viet Tran, Thuong Le-Tien, Sébastien Li-Thao-Té, Marie Luong, Françoise Dibos, Jean-Marie Rocchisani
Publikováno v:
Medical Imaging: Image Processing
Medical images often suffer from noise and low-resolution, which may compromise the accuracy of diagnosis. How to improve the image resolution in cases of heavy noise is still a challenging issue. This paper introduces a novel Examplebased Super-reso
Publikováno v:
Journal of Mathematical Imaging and Vision. 21:107-118
For comparison of shapes under subgroups of the projective group, we can use a lot of invariants and especially differential invariants coming from multiscale analysis. But such invariants, as we have to compute curvature, are very sensitive to the n
Autor:
Françoise Dibos, Olivia Sanchez
Publikováno v:
International Journal of Computer Vision. 57:91-105
In a video sequence, computing the motion of an object requires the continuity of the apparent velocity field. This property does not hold when the object is hidden by an occlusion during its motion. The minimization of an energy functional leads to
Autor:
Françoise Dibos
Publikováno v:
Comptes Rendus de l'Académie des Sciences - Series I - Mathematics. 332:799-804
Resume On a souvent besoin pour de nombreuses applications, reconnaissance de formes, imagerie medicale, tests automatiques de conformite... de recaler deux images planes f et g , c'est-a-dire de savoir si g peut etre consideree comme une vue de f lo
Autor:
Françoise Dibos, Georges Koepfler
Publikováno v:
SIAM Journal on Numerical Analysis. 37:646-664
The minimization of the total variation is an important tool of image processing. A lot of authors have addressed the problem and developed algorithms for image denoising. In this paper we present an alternative approach of the total variation minimi
Autor:
Françoise Dibos
Publikováno v:
Proceedings of the Royal Society of Edinburgh: Section A Mathematics. 126:985-993
We propose here a way to extend to all the 1-set of ℝ2 the well-known affine length which was just defined for a C2 curve. Moreover, this leads us to define the affine dimension of a 1-set which can be used for discriminate rectifiable 1-sets from