Agnès Desolneux

发表

Edge Detection by Helmholtz Principle

Lionel Moisan, Jean-Michel Morel, Agnès Desolneux, 2001, Journal of Mathematical Imaging and Vision.

Macrocanonical Models for Texture Synthesis

Bruno Galerne, Valentin De Bortoli, Agnès Desolneux, 2019, SSVM.

A Fourier Approach for the Level Crossings of Shot Noise Processes with Jumps

Agnès Desolneux, Hermine Biermé, 2012, J. Appl. Probab..

From Gestalt Theory to Image Analysis

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2008 .

Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models

Jean-Michel Morel, Agnès Desolneux, Lara Raad, 2015, CIARP.

Automatic image analysis : a challenge for Computer Vision

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2001 .

Automatic color palette

Julie Delon, Jose Luis Lisani, Agnès Desolneux, 2005, IEEE International Conference on Image Processing 2005.

The Helmholtz Principle

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2008 .

Vanishing Point Detection without Any A Priori Information

Agnès Desolneux, Andrés Almansa, Sébastien Vamech, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

The effect of NPS calculation method on power-law coefficient estimation accuracy in breast texture modeling

Ann-Katherine Carton, Serge Muller, Agnès Desolneux, 2015, Medical Imaging.

Combining Registration and Abnormality Detection in Mammography

Frédéric J. P. Richard, Agnès Desolneux, Mohamed Hachama, 2006, WBIR.

Bayesian Technique for Image Classifying Registration

Frédéric J. P. Richard, Agnès Desolneux, Mohamed Hachama, 2012, IEEE Transactions on Image Processing.

Patch redundancy in images: a statistical testing framework and some applications

Bruno Galerne, Valentin De Bortoli, Agnès Desolneux, 2019, SIAM J. Imaging Sci..

A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection

Frédéric J. P. Richard, Agnès Desolneux, Mohamed Hachama, 2006, Digital Mammography / IWDM.

Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction

Julie Delon, Agnès Desolneux, J. Delon, 2010, SIAM J. Imaging Sci..

A Grouping Principle and Four Applications

Lionel Moisan, Jean-Michel Morel, Agnès Desolneux, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Significant edges in the case of a non-stationary Gaussian noise

Agnès Desolneux, Isabelle Abraham, Romain Abraham, 2006, math/0606219.

PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images

Julie Delon, Agnès Desolneux, Thierry Guillemot, 2016, Image Process. Line.

A Probabilistic Grouping Principle to Go from Pixels to Visual Structures

Agnès Desolneux, 2011, DGCI.

Stochastic Methods for Image Analysis

Agnès Desolneux, A. Desolneux, 2019, Stochastic Geometry.

Introduction aux methodes a contrario

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2006 .

A patch-based approach for random-valued impulse noise removal

Julie Delon, Agnès Desolneux, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

RNLp: Mixing Nonlocal and TV-Lp Methods to Remove Impulse Noise from Images

Julie Delon, Agnès Desolneux, Camille Sutour, 2018, Journal of Mathematical Imaging and Vision.

Natural Scenes and Multiscale Analysis

Agnès Desolneux, 2010 .

A Nonparametric Approach for Histogram Segmentation

Julie Delon, Jose Luis Lisani, Agnès Desolneux, 2007, IEEE Transactions on Image Processing.

A Unified Framework for Detecting Groups and Application to Shape Recognition

Julie Delon, Agnès Desolneux, Frédéric Sur, 2007, Journal of Mathematical Imaging and Vision.

A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise

Julie Delon, Agnès Desolneux, 2013, SIAM J. Imaging Sci..

Music and Piecewise Gaussian Models

Agnès Desolneux, 2010 .

Detection of Small Anomalies on Moving Background

Jean-Michel Morel, Agnès Desolneux, Axel Davy, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Character Recognition and Syntactic Grouping

Agnès Desolneux, 2010 .

Automatic color palette

Julie Delon, Agnès Desolneux, Ana Belén Petro, 2007 .

Dequantizing image orientation

Saïd Ladjal, Lionel Moisan, Jean-Michel Morel, 2002, IEEE Trans. Image Process..

Locally Gaussian exemplar based texture synthesis

Jean-Michel Morel, Agnès Desolneux, Lara Raad, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Gestalt Theory and Computer Vision

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2004 .

Meaningful Alignments

Lionel Moisan, Jean-Michel Morel, Agnès Desolneux, 2000, International Journal of Computer Vision.

Stochastic Image Models from SIFT-Like Descriptors

Agnès Desolneux, Arthur Leclaire, A. Desolneux, 2018, SIAM J. Imaging Sci..

An Anisotropic A Contrario Framework for the Detection of Convergences in Images

Agnès Desolneux, Fanny Doré, 2016, Journal of Mathematical Imaging and Vision.

Image Denoising by Statistical Area Thresholding

Agnès Desolneux, Bernard Ycart, David Coupier, 2005, Journal of Mathematical Imaging and Vision.

A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging

Ann-Katherine Carton, Serge Muller, Agnès Desolneux, 2016, Digital Mammography / IWDM.

Image Texture, Segmentation and Gibbs Models

Agnès Desolneux, 2010 .

Computational gestalts and perception thresholds

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2003, Journal of Physiology-Paris.

A compact representation of random phase and Gaussian textures

Lionel Moisan, Agnès Desolneux, Samuel Ronsin, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences

Frédéric J. P. Richard, Agnès Desolneux, Charles-André Cuenod, 2010, Medical Image Anal..

A mammogram registration technique dealing with outliers

Frédéric J. P. Richard, Agnès Desolneux, Mohamed Hachama, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial

Ann-Katherine Carton, Serge Muller, Agnès Desolneux, 2018, Medical Imaging.

Faces and Flexible Templates

Agnès Desolneux, 2010 .

Modes of a Histogram

Jean-Michel Morel, Lionel Moisan, Agnès Desolneux, 2008 .

A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm

Jean-Michel Morel, Agnès Desolneux, Lara Raad, 2016, Journal of Mathematical Imaging and Vision.

English Text and Markov Chains

Agnès Desolneux, 2010 .

A survey of exemplar-based texture synthesis pdf

Jean-Michel Morel, Agnès Desolneux, Lara Raad, 2017, ArXiv.

When the a contrario approach becomes generative

Agnès Desolneux, A. Desolneux, 2015, International Journal of Computer Vision.

Conditional Gaussian Models for Texture Synthesis

Jean-Michel Morel, Agnès Desolneux, Lara Raad, 2015, SSVM.

Color Image Segmentation Using Acceptable Histogram Segmentation

Julie Delon, Jose Luis Lisani, Agnès Desolneux, 2005, IbPRIA.

Stochastic Image Reconstruction from Local Histograms of Gradient Orientation

Agnès Desolneux, Arthur Leclaire, A. Desolneux, 2017, SSVM.

The effect of discretization on the mean geometry of a 2D random field

Agnès Desolneux, Hermine Biermé, A. Desolneux, 2020, Annales Henri Lebesgue.

What is Pattern Theory

David Mumford, Agnès Desolneux, 2010 .

Variational Snake Theory

Lionel Moisan, Jean-Michel Morel, Agnès Desolneux, 2003 .

Flicker stabilization in image sequences

Julie Delon, Agnès Desolneux, 2009 .