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Robust Digital Watermarking by Image Decomposition
(Ieee, 2016-01-01)
Digital watermarking is a technique that can be utilized for authenticity verification or for the copyright protection of digital data. The finality to which the technique will be utilized is that determines if the method ...
Décomposition d’Images Fondée sur l’Analyse de la Régularité Locale: Application au Codage Hybride d’Image
(2016-07-01)
La représentation hybride d'image utilise conjointement la décomposition en ondelettes pour l'information structurée et la modélisation paramétrique pour les textures. Dans ce cadre, nous proposons un algorithme qui décompose ...
Orientation-Independent Empirical Mode Decomposition for Images Based on Unconstrained Optimization
(Institute of Electrical and Electronics Engineers, 2016-03)
This paper introduces a 2D extension of the empirical mode decomposition (EMD), through a novel approach based on unconstrained optimization. EMD is a fully data-driven method that locally separates, in a completely ...
Marca d'água Digital Robusta via Decomposiçâo de Imagens
(2016-12-08)
Digital watermarking is a technique that can be utilized for authenticity verification or for the copyright protection of digital data. The finality to which the technique will be utilized is that determines if the method ...
Rotation-invariant and scale-invariant steerable pyramid decomposition for texture image retrieval
(Scopus, 2007)
This paper proposes a new rotation-invariant and scale-invariant representation for texture image retrieval based on Steerable Pyramid Decomposition. By calculating the mean and standard deviation of decomposed image ...
A Sparse Tensor Decomposition with Multi-Dictionary Learning Applied to Diffusion Brain Imaging
(University of Lisbon, 2017)
We use a multidimensional signal representation that integrates diffusion Magnetic Resonance Imaging (dMRI) and tractography (brain connections) using sparse tensor decomposition. The representation encodes brain connections ...
Topological multi-contour decomposition for image analysis and image retrieval
(ELSEVIER SCIENCE BV, 2008)
Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the ...
Rotation-invariant texture recognition
(Scopus, 2007)
This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method ...
General Algorithm for the Semantic Decomposition of Geo-Images
(Revista Computación y Sistemas; Vol. 14 No. 4, 2011-06-06)
Abstract. The thesis presents an object oriented methodology for the semantic extraction of a geo-image which is defined by a set of natural language labels. The approach is composed of two main stages: analysis and ...