7 code implementations • IEEE Transactions on Neural Networks 2011 • Valero Laparra, Gustavo Camps-Valls, Jesús Malo
The practical performance of RBIG is successfully illustrated in a number of multidimensional problems such as image synthesis, classification, denoising, and multi-information estimation.
no code implementations • 31 Jan 2016 • Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls, Jesús Malo
In this paper, we propose an alternative non-explicit way to take into account the relations among natural image wavelet coefficients for denoising: we use support vector regression (SVR) in the wavelet domain to enforce these relations in the estimated signal.
no code implementations • 31 Jan 2016 • Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo
Here we address the simultaneous statistical explanation of (i) the nonlinear behavior of achromatic and chromatic mechanisms in a fixed adaptation state, and (ii) the change of such behavior.
no code implementations • 21 Nov 2013 • José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls
On the one hand, the signal model equation is written in reproducing kernel Hilbert spaces (RKHS) using the well-known RKHS Signal Model formulation, and Mercer's kernels are readily used in SVM non-linear algorithms.
no code implementations • 18 Oct 2013 • Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen
Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis.
no code implementations • 18 Oct 2013 • Gustavo Camps-Valls, Juan Gutiérrez, Gabriel Gómez-Pérez, Jesús Malo
We analytically demonstrate that no linear domain fulfills this condition because of the statistical and perceptual inter-coefficient relations that exist in these domains.
no code implementations • 18 Oct 2013 • Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson
Hyperspectral images show similar statistical properties to natural grayscale or color photographic images.