A Non-Local Low-Rank Approach to Enforce Integrability

Autor: Hussein Yahia, Hicham Badri

Publikováno v: IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2016

International audience; We propose a new approach to enforce integrability using recent advances in non-local methods. Our formulation consists in a sparse gradient data-fitting term to handle outliers together with a gradient-domain non-local low-ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13ab28b50acd8f1b7f4506761960b62a
https://doi.org/10.1109/tip.2016.2570548

Reconstructing an image from its edge representation

Autor: Hussein Yahia, Hicham Badri, Suman Kumar Maji

Publikováno v: Digital Signal Processing
Digital Signal Processing, 2013, ⟨10.1016/j.dsp.2013.06.013⟩

International audience; In this paper, we show that a new edge detection scheme developed from the notion of transition in nonlinear physics, associated with the precise computation of its quantitative parameters (most notably singularity exponents)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::084f07c8de81d31e6e9c69c0736fc824
https://doi.org/10.1016/j.dsp.2013.06.013

Handling noise in image deconvolution with local/non-local priors

Autor: Hicham Badri, Hussein Yahia

Publikováno v: ICIP
IEEE International Conference on Image Processing (ICIP)
IEEE International Conference on Image Processing (ICIP), IEEE, Oct 2014, Paris, France

International audience; Non-blind deconvolution consists in recovering a sharp latent image from a blurred image with a known kernel. Decon-volved images usually contain unpleasant artifacts due to the ill-posedness of the problem even when the kerne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81383cda486acb36a63f6e9077eb0496
https://doi.org/10.1109/icip.2014.7025535

Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis

Autor: Khalid Daoudi, Hicham Badri, Hussein Yahia

Publikováno v: Computer Vision – ECCV 2014 ISBN: 9783319105895
ECCV (1)
European Conference on Computer Vision
European Conference on Computer Vision, ECCV 2014, Sep 2014, Zürich, Switzerland

International audience; A fast and accurate texture recognition system is presented. The new approach consists in extracting locally and globally invariant representations. The locally invariant representation is built on a multi-resolution convoluti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd1f41562da9c5694f2516de7e6b1ef7
https://doi.org/10.1007/978-3-319-10590-1_33

Kernel-Based Laplacian Smoothing Method for 3D Mesh Denoising

Autor: Hicham Badri, Mohammed El Hassouni, Driss Aboutajdine

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642312533
ICISP
5th International Conference, ICISP 2012
5th International Conference, ICISP 2012, Jun 2012, Agadir, Morocco. pp.77-84

International audience; In this paper, we present an improved Laplacian smoothing technique for 3D mesh denoising. This method filters directly the vertices by updating their positions. Laplacian smoothing process is simple to implement and fast, but

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a131633c0657ad5ce4b09a69a569e120
https://doi.org/10.1007/978-3-642-31254-0_9