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ORCIDJavier Portilla
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2020 – today
- 2024
[i2]Alexander Hepburn, Raúl Santos-Rodriguez, Javier Portilla:
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. CoRR abs/2403.10390 (2024)- 2023
- [j12]Trevor Canham, Adrián Martín Fernández, Marcelo Bertalmío
, Javier Portilla:
Using Decoupled Features for Photorealistic Style Transfer. SIAM J. Imaging Sci. 16(3): 1687-1726 (2023) - 2022
- [j11]Chaoqun Dong, Filip Sroubek, Javier Portilla:
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods. Image Process. Line 12: 218-346 (2022) - [i1]Eduardo Martínez-Enríquez, María del Mar González, Javier Portilla:
Deterministic Decoupling of Global Features and its Application to Data Analysis. CoRR abs/2207.02132 (2022) - 2020
- [c28]Eduardo Martínez-Enríquez, Javier Portilla:
Deterministic Feature Decoupling by Surfing Invariance Manifolds. ICASSP 2020: 6049-6053 - [c27]Eduardo Martínez-Enríquez, Javier Portilla:
Controlled Feature Adjustment for Image Processing and Synthesis. MMSP 2020: 1-6
2010 – 2019
- 2019
- [c26]Chaoqun Dong, Sergio Barbero, Javier Portilla:
Nonconvex Bayesian Restoration of Blurred Foreground Images. ICIP 2019: 754-758 - 2018
- [c25]Javier Portilla, Eduardo Martínez-Enríquez:
Nested Normalizations for Decoupling Global Features. ICIP 2018: 2112-2116 - 2017
- [c24]Javier Portilla, Sergio Barbero:
Comparing optical to digital metrics: What is the optimal defocus in a rotationally symmetric system? ICIP 2017: 1462-1466 - [c23]Chaoqun Dong, Javier Portilla:
Spectral pre-adaptation for two-step arbitrary-shape-support image restoration. ICIP 2017: 3515-3519 - 2016
- [j10]José A. Canabal, David Miraut, Nils Thuerey, Theodore Kim, Javier Portilla, Miguel A. Otaduy:
Dispersion kernels for water wave simulation. ACM Trans. Graph. 35(6): 202:1-202:10 (2016) - [c22]Chaoqun Dong, Javier Portilla:
Maximum likelihood interpolation for aliasing-aware image restoration. ICIP 2016: 564-568 - 2015
- [j9]Javier Portilla, Antonio Tristán-Vega, Ivan W. Selesnick:
Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors. IEEE Trans. Image Process. 24(12): 5046-5059 (2015) - [c21]Javier Portilla:
Quantum-computation-inspired reverse analysis texture synthesis. ICIP 2015: 596-600 - 2014
- [c20]Javier Portilla:
Maximum likelihood extension for non-circulant deconvolution. ICIP 2014: 4276-4279 - 2013
- [j8]Aleksandra Pizurica, Javier Portilla, Keigo Hirakawa, Karen O. Egiazarian:
Advanced statistical tools for enhanced quality digital imaging with realistic capture models. EURASIP J. Adv. Signal Process. 2013: 140 (2013) - 2012
- [j7]David Miraut, Javier Portilla:
Efficient shift-variant image restoration using deformable filtering (Part I). EURASIP J. Adv. Signal Process. 2012: 100 (2012) - [j6]David Miraut, Johannes Ballé, Javier Portilla:
Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation. EURASIP J. Adv. Signal Process. 2012: 193 (2012) - 2011
- [c19]Elena Gil-Rodrigo, Javier Portilla, David Miraut, Ricardo Suarez-Mesa:
Efficient joint poisson-gauss restoration using multi-frame L2-relaxed-L0 analysis-based sparsity. ICIP 2011: 1385-1388 - [c18]Javier Portilla, Elena Gil-Rodrigo, David Miraut, Ricardo Suarez-Mesa:
Condy: Ultra-fast high performance restoration using multi-frame L2-relaxed-L0 sparsity and constrained dynamic heuristics. ICIP 2011: 1837-1840
2000 – 2009
- 2009
- [c17]Javier Portilla:
Image restoration through l0 analysis-based sparse optimization in tight frames. ICIP 2009: 3909-3912 - 2008
- [j5]Jose A. Guerrero-Colon, Luis Mancera, Javier Portilla:
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids. IEEE Trans. Image Process. 17(1): 27-41 (2008) - [c16]Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier Portilla:
Image denoising using mixtures of Gaussian scale mixtures. ICIP 2008: 565-568 - [c15]Luis Mancera, Javier Portilla:
Non-convex sparse optimization through deterministic annealing and applications. ICIP 2008: 917-920 - 2006
- [c14]Javier Portilla:
A perceptual Bayesian estimation framework and its application to image denoising. EUSIPCO 2006: 1-5 - [c13]Jose A. Guerrero-Colon, Javier Portilla:
Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids. ICIP 2006: 625-628 - [c12]Luis Mancera, Javier Portilla:
L0-Norm-Based Sparse Representation Through Alternate Projections. ICIP 2006: 2089-2092 - 2005
- [c11]Luis Mancera, Javier Portilla:
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations. ACIVS 2005: 411-418 - [c10]Javier Portilla, Deitze Otaduy, Carlos Dorronsoro:
Low-complexity linear demosaicing using joint spatial-chromatic image statistics. ICIP (1) 2005: 61-64 - [c9]Jose A. Guerrero-Colon, Javier Portilla:
Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids. ICIP (1) 2005: 105-108 - 2004
- [c8]Javier Portilla:
Full blind denoising through noise covariance estimation using gaussian scale mixtures in the wavelet domain. ICIP 2004: 1217-1220 - 2003
- [j4]Javier Portilla, Vasily Strela, Martin J. Wainwright, Eero P. Simoncelli:
Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process. 12(11): 1338-1351 (2003) - [c7]Javier Portilla, Eero P. Simoncelli:
Image restoration using Gaussian scale mixtures in the wavelet domain. ICIP (2) 2003: 965-968 - 2001
- [c6]Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli:
Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. ICIP (2) 2001: 37-40 - 2000
- [j3]Javier Portilla, Eero P. Simoncelli:
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. Int. J. Comput. Vis. 40(1): 49-70 (2000) - [c5]Javier Portilla, Eero P. Simoncelli:
Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. ICIP 2000: 277-280
1990 – 1999
- 1999
- [j2]Antonio Tabernero, Javier Portilla, Rafael Fonolla Navarro:
Duality of log-polar image representations in the space and spatial-frequency domains. IEEE Trans. Signal Process. 47(9): 2469-2479 (1999) - [c4]Roberto Manduchi, Javier Portilla:
Independent Component Analysis of Textures. ICCV 1999: 1054-1060 - 1998
- [j1]Oscar Nestares, Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero:
Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions. J. Electronic Imaging 7(1): 166-173 (1998) - [c3]Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero:
Duality between foveatization and multiscale local spectrum estimation. Human Vision and Electronic Imaging 1998: 306-317 - [c2]Eero P. Simoncelli, Javier Portilla:
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. ICIP (1) 1998: 62-66 - 1996
- [c1]Rafael Fonolla Navarro, Javier Portilla:
Robust method for texture synthesis-by-analysis based on a multiscale Gabor scheme. Human Vision and Electronic Imaging 1996: 86-97
Coauthor Index
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