J. Portilla

发表

Image Denoising using Gaussian Scale Mixtures in the Wavelet Domain

Eero P. Simoncelli, M. Wainwright, J. Portilla, 2002 .

A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

Eero P. Simoncelli, Javier Portilla, J. Portilla, 2000, International Journal of Computer Vision.

Texture Representation and Synthesis Using Correlation of Complex Wavelet Coefficient Magnitudes

Eero P. Simoncelli, J. Portilla, 1999 .

Image restoration using Gaussian scale mixtures in the wavelet domain

Eero P. Simoncelli, Javier Portilla, J. Portilla, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids

Javier Portilla, Jose A. Guerrero-Colon, Luis Mancera, 2008, IEEE Transactions on Image Processing.

Image denoising using scale mixtures of Gaussians in the wavelet domain

Martin J. Wainwright, Eero P. Simoncelli, Javier Portilla, 2003, IEEE Trans. Image Process..

Image restoration through l0 analysis-based sparse optimization in tight frames

Javier Portilla, J. Portilla, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain

Martin J. Wainwright, Eero P. Simoncelli, Javier Portilla, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

BLIND NON-WHITE NOISE REMOVAL IN IMAGES USING GAUSSIAN SCALE MIXTURES IN THE WAVELET DOMAIN

J. Portilla, 2004 .

Improved Image Denoising Algorithm using Dual Tree Complex Wavelet Transform

Eero P. Simoncelli, M. Wainwright, J. Portilla, 2016 .

de Madrid Duality Between the Local Spectrum of a Signal andits Inverse Fourier Transform , the Local Signal

J. Portilla, R. Navarro, Antonio Tabernero, 2007 .

Optimization of ultra-fast interactions using laser pulse temporal shaping controlled by a deterministic algorithm

M. Galvan-Sosa, J. Portilla, J. Hernandez-Rueda, 2014 .

Deterministic Decoupling of Global Features and its Application to Data Analysis

J. Portilla, Eduardo Martínez-Enríquez, M. González, 2022, ArXiv.

Non-convex sparse optimization through deterministic annealing and applications

Javier Portilla, Luis Mancera, J. Portilla, 2008, 2008 15th IEEE International Conference on Image Processing.

Title: “ TEXTURE SYNTHESIS-BY-ANALYSIS BASED ON A MULTISCALE EARLY-

J. Portilla, Oscar Nestares, R. Navarro, 1996 .

Using Decoupled Features for Photo-realistic Style Transfer

J. Portilla, Trevor Canham, Adri'an Mart'in, 2022, 2212.02953.

The relationship between dioptric power and magnification in progressive addition lenses

J. Portilla, S. Barbero, 2016, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations

Javier Portilla, Luis Mancera, J. Portilla, 2005, ACIVS.

Parametric PSF estimation via sparseness maximization in the wavelet domain

Wilfried Philips, Filip Rooms, Javier Portilla, 2004, SPIE Optics East.

Duality of log-polar image representations in the space and spatial-frequency domains

Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero, 1999, IEEE Trans. Signal Process..

L0-Norm-Based Sparse Representation Through Alternate Projections

Javier Portilla, Luis Mancera, J. Portilla, 2006, 2006 International Conference on Image Processing.

Independent component analysis of textures

Roberto Manduchi, Javier Portilla, J. Portilla, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors

Ivan W. Selesnick, Javier Portilla, Antonio Tristan-Vega, 2015, IEEE Transactions on Image Processing.

Using Decoupled Features for Photo-realistic Style Transfer

J. Portilla, Trevor Canham, Adri'an Mart'in, 2022, 2212.02953.

Texture modeling and synthesis using joint statistics of complex wavelet coefficients

Eero P. Simoncelli, Javier Portilla, J. Portilla, 1999 .

Texture synthesis‐by‐analysis method based on a multiscale early‐vision model

Oscar Nestares, Javier Portilla, Antonio Tabernero, 1996 .

Robust method for texture synthesis-by-analysis based on a multiscale Gabor scheme

Rafael Fonolla Navarro, Javier Portilla, J. Portilla, 1996, Electronic Imaging.

Duality between foveatization and multiscale local spectrum estimation

Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero, 1998, Electronic Imaging.

Efficient Method for Space-Variant Low-Pass Filtering

Javier Portilla, Rafael B. Navarro, J. Portilla, 1997 .

Image denoising using a local Gaussian scale mixture model in the wavelet domain

Eero P. Simoncelli, Javier Portilla, Vasily Strela, 2000, SPIE Optics + Photonics.

Image denoising via adjustment of wavelet coefficient magnitude correlation

Eero P. Simoncelli, Javier Portilla, J. Portilla, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Low-complexity linear demosaicing using joint spatial-chromatic image statistics

Javier Portilla, Carlos Dorronsoro, Deitze Otaduy, 2005, IEEE International Conference on Image Processing 2005.

Geometrical interpretation of dioptric blurring and magnification in ophthalmic lenses.

Sergio Barbero, Javier Portilla, J. Portilla, 2015, Optics express.

Texture characterization via joint statistics of wavelet coefficient magnitudes

Eero P. Simoncelli, Javier Portilla, J. Portilla, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Optimization of ultra-fast interactions using laser pulse temporal shaping controlled by a deterministic algorithm

J. Portilla, J. Siegel, J. Hernandez-Rueda, 2014 .

Multiple One-Dimensional Search (MODS) algorithm for fast optimization of laser–matter interaction by phase-only fs-laser pulse shaping

M. Galvan-Sosa, J. Portilla, J. Hernandez-Rueda, 2014 .

Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions

Oscar Nestares, Rafael Fonolla Navarro, Javier Portilla, 1998, J. Electronic Imaging.

Spectral pre-adaptation for two-step arbitrary-shape-support image restoration

Chaoqun Dong, Javier Portilla, J. Portilla, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Maximum likelihood interpolation for aliasing-aware image restoration

Chaoqun Dong, Javier Portilla, J. Portilla, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Maximum likelihood extension for non-circulant deconvolution

Javier Portilla, J. Portilla, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Full blind denoising through noise covariance estimation using Gaussian scale mixtures in the wavelet domain

Javier Portilla, J. Portilla, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

AND ITS APPLICATION TO IMAGE DENOISING

Javier Portilla, J. Portilla, A. Bayesian, 2006 .

Condy: Ultra-fast high performance restoration using multi-frame L2-relaxed-L0 sparsity and constrained dynamic heuristics

Javier Portilla, David Miraut, Elena Gil-Rodrigo, 2011, 2011 18th IEEE International Conference on Image Processing.

Automatic computation of the area irradiated by ultrashort laser pulses in Sb materials through texture segmentation of TEM images

Oscar Nestares, Javier Portilla, Antonio Tabernero, 1996 .

Dispersion kernels for water wave simulation

Theodore Kim, Miguel A. Otaduy, Nils Thürey, 2016, ACM Trans. Graph..

Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids

Javier Portilla, Jose A. Guerrero-Colon, J. Portilla, 2005, IEEE International Conference on Image Processing 2005.

Image restoration using Gaussian scale mixtures in overcomplete oriented pyramids

Javier Portilla, J. Portilla, 2005, SPIE Optics + Photonics.

Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation

Johannes Ballé, Javier Portilla, David Miraut, 2012, EURASIP J. Adv. Signal Process..

Efficient shift-variant image restoration using deformable filtering (Part I)

Javier Portilla, David Miraut, J. Portilla, 2012, EURASIP J. Adv. Signal Process..

Deblurring-by-Denoising using Spatially Adaptive Gaussian Scale Mixtures in Overcomplete Pyramids

Javier Portilla, Jose A. Guerrero-Colon, J. Portilla, 2006, 2006 International Conference on Image Processing.

A perceptual Bayesian estimation framework and its application to image denoising

Javier Portilla, J. Portilla, 2006, 2006 14th European Signal Processing Conference.

Abstract 1 Introduction

J. Portilla, R. Manduchi, 1999 .

L0-based sparse approximation: two alternative methods and some applications

Javier Portilla, Luis Mancera, J. Portilla, 2007, SPIE Optical Engineering + Applications.

L 0-based sparse approximation : Two alternative methods and some applications

Javier Portilla, Luis Mancera, J. Portilla, 2007 .