Robust method for texture synthesis-by-analysis based on a multiscale Gabor scheme. - Rafael Fonolla Navarro; Javier Portilla (Human Vision and Electronic Imaging, 1996)

Duality between foveatization and multiscale local spectrum estimation. - Rafael Fonolla Navarro; Javier Portilla; Antonio Tabernero (Human Vision and Electronic Imaging, 1998)

Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes. - Eero P. Simoncelli; Javier Portilla (ICIP (1), 1998)

Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions. - Oscar Nestares; Rafael Fonolla Navarro; Javier Portilla; Antonio Tabernero (J. Electronic Imaging, 1998)

Independent Component Analysis of Textures. - Roberto Manduchi; Javier Portilla (ICCV, 1999)

Duality of log-polar image representations in the space and spatial-frequency domains. - Antonio Tabernero; Javier Portilla; Rafael Fonolla Navarro (IEEE Trans. Signal Process., 1999)

Image Denoising via Adjustment of Wavelet Coefficient Magnitude Correlation. - Javier Portilla; Eero P. Simoncelli (ICIP, 2000)

A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. - Javier Portilla; Eero P. Simoncelli (Int. J. Comput. Vis., 2000)

Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. - Vasily Strela; Javier Portilla; Martin J. Wainwright; Eero P. Simoncelli (ICIP (2), 2001)

Image restoration using Gaussian scale mixtures in the wavelet domain. - Javier Portilla; Eero P. Simoncelli (ICIP (2), 2003)

Image denoising using scale mixtures of Gaussians in the wavelet domain. - Javier Portilla; Vasily Strela; Martin J. Wainwright; Eero P. Simoncelli (IEEE Trans. Image Process., 2003)

Full blind denoising through noise covariance estimation using gaussian scale mixtures in the wavelet domain. - Javier Portilla (ICIP, 2004)

Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations. - Luis Mancera; Javier Portilla (ACIVS, 2005)

Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids. - Jose A. Guerrero-Colon; Javier Portilla (ICIP (1), 2005)

Low-complexity linear demosaicing using joint spatial-chromatic image statistics. - Javier Portilla; Deitze Otaduy; Carlos Dorronsoro (ICIP (1), 2005)

A perceptual Bayesian estimation framework and its application to image denoising. - Javier Portilla (EUSIPCO, 2006)

Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids. - Jose A. Guerrero-Colon; Javier Portilla (ICIP, 2006)

L0-Norm-Based Sparse Representation Through Alternate Projections. - Luis Mancera; Javier Portilla (ICIP, 2006)

Image denoising using mixtures of Gaussian scale mixtures. - Jose A. Guerrero-Colon; Eero P. Simoncelli; Javier Portilla (ICIP, 2008)

Non-convex sparse optimization through deterministic annealing and applications. - Luis Mancera; Javier Portilla (ICIP, 2008)

Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids. - Jose A. Guerrero-Colon; Luis Mancera; Javier Portilla (IEEE Trans. Image Process., 2008)

Image restoration through l0 analysis-based sparse optimization in tight frames. - Javier Portilla (ICIP, 2009)

Efficient joint poisson-gauss restoration using multi-frame L2-relaxed-L0 analysis-based sparsity. - Elena Gil-Rodrigo; Javier Portilla; David Miraut 001; Ricardo Suarez-Mesa (ICIP, 2011)

Condy: Ultra-fast high performance restoration using multi-frame L2-relaxed-L0 sparsity and constrained dynamic heuristics. - Javier Portilla; Elena Gil-Rodrigo; David Miraut 001; Ricardo Suarez-Mesa (ICIP, 2011)

Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation. - David Miraut 001; Johannes Ballé; Javier Portilla (EURASIP J. Adv. Signal Process., 2012)

Efficient shift-variant image restoration using deformable filtering (Part I). - David Miraut 001; Javier Portilla (EURASIP J. Adv. Signal Process., 2012)

Advanced statistical tools for enhanced quality digital imaging with realistic capture models. - Aleksandra Pizurica; Javier Portilla; Keigo Hirakawa; Karen O. Egiazarian (EURASIP J. Adv. Signal Process., 2013)

Maximum likelihood extension for non-circulant deconvolution. - Javier Portilla (ICIP, 2014)

Quantum-computation-inspired reverse analysis texture synthesis. - Javier Portilla (ICIP, 2015)

Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors. - Javier Portilla; Antonio Tristán-Vega; Ivan W. Selesnick (IEEE Trans. Image Process., 2015)

Maximum likelihood interpolation for aliasing-aware image restoration. - Chaoqun Dong; Javier Portilla (ICIP, 2016)

Dispersion kernels for water wave simulation. - José A. Canabal; David Miraut 001; Nils Thuerey; Theodore Kim; Javier Portilla; Miguel A. Otaduy (ACM Trans. Graph., 2016)

Spectral pre-adaptation for two-step arbitrary-shape-support image restoration. - Chaoqun Dong; Javier Portilla (ICIP, 2017)

Comparing optical to digital metrics: What is the optimal defocus in a rotationally symmetric system? - Javier Portilla; Sergio Barbero (ICIP, 2017)

Nested Normalizations for Decoupling Global Features. - Javier Portilla; Eduardo Martínez-Enríquez (ICIP, 2018)

Nonconvex Bayesian Restoration of Blurred Foreground Images. - Chaoqun Dong; Sergio Barbero; Javier Portilla (ICIP, 2019)

Deterministic Feature Decoupling by Surfing Invariance Manifolds. - Eduardo Martínez-Enríquez; Javier Portilla (ICASSP, 2020)

Controlled Feature Adjustment for Image Processing and Synthesis. - Eduardo Martínez-Enríquez; Javier Portilla (MMSP, 2020)

Deterministic Decoupling of Global Features and its Application to Data Analysis. - Eduardo Martínez-Enríquez; María del Mar González; Javier Portilla (CoRR, 2022)

Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods. - Chaoqun Dong; Filip Sroubek; Javier Portilla (Image Process. Line, 2022)

Using Decoupled Features for Photorealistic Style Transfer. - Trevor D. Canham; Adrián Martín Fernández; Marcelo Bertalmío; Javier Portilla (SIAM J. Imaging Sci., 2023)

Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. - Alexander Hepburn; Raúl Santos-Rodriguez; Javier Portilla (CoRR, 2024)

Bridging the Machine-Human Gap in Blurred-Image Classification via Entropy Maximisation. - Emilio Sansano-Sansano; Marina Martínez-Garcia; Javier Portilla (IPAS, 2025)