Javier Portilla

发表

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

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

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.

Low-cost wavefront coding using coma and a denoising-based deconvolution

Carlos Dorronsoro, Javier Portilla, Jose A. Guerrero-Colon, 2007, SPIE Security + Defence.

Parametric PSF estimation via sparseness maximization in the wavelet domain

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

L0-Norm-Based Sparse Representation Through Alternate Projections

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

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.

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.

Image restoration using adaptive Gaussian scale mixtures in overcomplete pyramids

Javier Portilla, Jose A. Guerrero-Colon, 2007, SPIE Optical Engineering + Applications.

Non-convex sparse optimization through deterministic annealing and applications

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

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..

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).

Image denoising using mixtures of Gaussian scale mixtures

Eero P. Simoncelli, Javier Portilla, Jose A. Guerrero-Colon, 2008, 2008 15th IEEE 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.

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 .

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.

Dispersion kernels for water wave simulation

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

Accuracy of geometric point spread function estimation using the ray-counting method

Sergio Barbero, Javier Portilla, 2012, Optical Systems Design.

Maximum likelihood interpolation for aliasing-aware image restoration

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

A perceptual Bayesian estimation framework and its application to image denoising

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

Textures synthesis-by-analysis based on a multiscale early-vision model

Javier Portilla, Antonio Tabernero, Rafael Navarro, 1996 .

Nested Normalizations for Decoupling Global Features

Javier Portilla, Eduardo Martínez-Enríquez, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations

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

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..

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).

Efficient joint poisson-gauss restoration using multi-frame L2-relaxed-L0 analysis-based sparsity

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

Efficient Method for Space-Variant Low-Pass Filtering

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

Nonconvex Bayesian Restoration of Blurred Foreground Images

Sergio Barbero, Chaoqun Dong, Javier Portilla, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

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

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

Duality between foveatization and multiscale local spectrum estimation

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

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

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

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

Oscar Nestares, Javier Portilla, Antonio Tabernero, 1996 .

Deterministic Feature Decoupling by Surfing Invariance Manifolds

Javier Portilla, Eduardo Martinez-Enriquez, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

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

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.

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).

Texture modeling and synthesis using joint statistics of complex wavelet coefficients

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

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..

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).

Hybrid digital-optical imaging design for reducing surface asphericity cost while keeping high performance

Sergio Barbero, Javier Portilla, 2018, Optical Systems Design.

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).

Simulated intensified images

Carlos Dorronsoro, Javier Portilla, Deitze Otaduy, 2005, SPIE Security + Defence.

Advanced statistical tools for enhanced quality digital imaging with realistic capture models

Aleksandra Pizurica, Karen O. Egiazarian, Keigo Hirakawa, 2013, EURASIP J. Adv. Signal Process..

Controlled Feature Adjustment for Image Processing and Synthesis

Javier Portilla, Eduardo Martínez-Enríquez, 2020, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).

Image denoising using scale mixtures of Gaussians in the wavelet domain

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

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

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

Maximum likelihood extension for non-circulant deconvolution

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

Quantum-computation-inspired reverse analysis texture synthesis

Javier Portilla, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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).

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.

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

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

Simulating real-world scenes viewed through ophthalmic lenses.

Sergio Barbero, Javier Portilla, 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.

Comparing optical to digital metrics: What is the optimal defocus in a rotationally symmetric system?

Sergio Barbero, Javier Portilla, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Texture segmentation through adaptive filtering

Oscar Nestares, Javier Portilla, 2007 .

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

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

Geometrical interpretation of dioptric blurring and magnification in ophthalmic lenses.

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

AND ITS APPLICATION TO IMAGE DENOISING

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