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Last modified: 10/17/2016

Jean-Francois Aujol's Publications

 

Refereed Journal Publications

 

  1. Joint Inpainting of Depth and Reflectance with Visibility Estimation,
    M. Bevilacqua, P. Biasutti, J-F Aujol, M. Brédif, and A. Bugeau, ISPRS Journal of Photogrammetry and Remote Sensing, volume 125, pages 16-32, 2017.
  2. Texture Reconstruction guided by the Histogram of a High-Resolution patch,
    M. El Gueche, J-F Aujol, Y. Berthoumieu, and C-A. Deledalle, IEEE Transactions on Image Processing, volume 26, number 2, 2017.
  3. Variational Contrast Enhancement of Gray-Scale and RGB Images,
    F. Pierre, J-F. Aujol, A. Bugeau, G. Steidl, and V. Ta, Journal of Mathematical Imaging and Vision, volume 57, pages 99-116, 2017.
  4. Image Zoom Completion,
    M. Hidane, M. El Gueche, J-F Aujol, Y. Berthoumieu, and C-A. Deledalle, IEEE Transactions on Image Processing, volume 25, number 8, 2016.
  5. Estimation of the noise level function based on a non-parametric detection of homogeneous image regions,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, SIAM Journal on Imaging Sciences, volume 8, number 4, pages 2622-2661, 2015.
  6. Stability of over-relaxations for the Forward-Backward algorithm, Application to FISTA,
    J-F. Aujol and C. Dossal, SIAM Journal on Optimization, volume 25, number 4, pages 2408-2433, 2015.
  7. Edge-based multi-modal registration and application for night vision devices,
    C. Sutour, J-F. Aujol, C-A. Deledalle, and B. Denis de Senneville, Journal of Mathematical Imaging and Vision, volume 53, number 2, pages 131-150, 2015.
  8. Luminance-Chrominance Model for Image Colorization,
    F. Pierre, J-F. Aujol, A. Bugeau, N. Papadakis, and V. Ta, SIAM Journal on Imaging Sciences, volume 8, number 1, pages 536-563, 2015.
  9. Adaptive regularization of the NL-means: Application to image and video denoising,
    C. Sutour, C. Deledalle, and J-F. Aujol, IEEE Transactions on Image Processing, volume 23, number 8, August 2014.
  10. Regularized Discrete Optimal Transport,
    S. Ferradans, N. Papadakis, G. Peyre, and J-F. Aujol, SIAM Journal on Imaging Sciences, 2014, volume 7, issue 3, pp. 1853-1882, 2014.
  11. Synthesizing and Mixing Stationary Gaussian Texture Models
    G-S. Xia, S. Ferradans, G. Peyre, and J-F. Aujol, SIAM Journal on Imaging Sciences, volume 8, number 1, pp 476-508, 2014.
  12. Poisson Skeleton Revisited: A New Mathematical Perspective
    G. Aubert and J-F. Aujol, Journal of Mathematical Imaging and Vision, volume 48, issue 1, pp 149-159, 2014.
  13. High-dimension multi-label problems: convex or non convex relaxation?
    N. Papadakis, R. Yildizoglu, J-F. Aujol and V. Caselles, SIAM Journal on Imaging Sciences, volume 6, number 4, pp 2603-2639, 2013.
  14. Some proximal methods for Poisson intensity CBCT and PET
    S. Antoine, J-F. Aujol, Y. Boursier and C. Melot, Inverse Problems and Imaging, volume 6, number 4, 2012.
  15. A bias-variance approach for the Non-Local Means
    Vincent Duval, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Imaging Sciences, volume 4, number 2, pages 760-788, 2011.
  16. Locally parallel texture modeling
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, SIAM Journal on Imaging Sciences, volume 4, number 1, pages 413-447, 2011.
  17. Exemplar-based inpainting from a variational point of view
    Jean-Francois Aujol , Said Ladjal, and Simon Masnou, SIAM Journal on Mathematical Analysis, volume 42, issue 3, pages 1246-1285, 2010.
  18. Mathematical modeling of textures : application to color image decomposition with a projected gradient algorithm
    Vincent Duval, Jean-Francois Aujol and Luminita Vese, Journal of Mathematical Imaging and Vision, volume 37, issue 3, pages 232-248, 2010.
  19. The TVL1 model: a geometric point of view
    Vincent Duval, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Multiscale Modeling and Simulation, volume 8, number 1, pages 154-189, November 2009.
  20. Local scale measure from the topographic map and application to remote sensing images
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Multiscale Modeling and Simulation, volume 8, number 1, pages 1-29, September 2009.
  21. Some first-order algorithms for total variation based image restoration
    Jean-Francois Aujol, Journal of Mathematical Imaging and Vision, volume 34, number 3, pages 307-327, July 2009.
  22. Irregular to regular sampling, denoising and deconvolution
    Gabriele Facciolo, Andres Almansa, Jean-Francois Aujol and Vicent Caselles, SIAM Journal on Multiscale Modeling and Simulation, volume 7, number 4, pages 1574-1608, April 2009.
  23. Indexing of satellite images with different resolutions by wavelet features
    Bin Luo, Jean-FranÃcois Aujol, Yann Gousseau and Said Ladjal, IEEE Transactions on Image Processing, volume 17, number 8, pages 1465-1472, August 2008.
  24. A Variational Approach to removing Multiplicative Noise
    Gilles Aubert and Jean-Francois Aujol, SIAM Journal on Applied Mathematics, volume 68, number 4, pages 925-946, January 2008.
  25. Resolution independant characteristic scale dedicated to satellite images
    Bin Luo, Jean-Francois Aujol, Yann Gousseau, Said Ladjal and Henri Maitre, IEEE Transactions on Image Processing, volume 16, number 10, pages 2503-2514, October 2007.
  26. Constrained and SNR-based Solutions for TV-Hilbert Space Image Denoising
    Jean-Francois Aujol and Guy Gilboa, Journal of Mathematical Imaging and Vision, volume 26, numbers 1-2, pages 217-237, November 2006.
  27. Scale recognition, regularization parameter selection, and Meyer's G norm in total variation regularization
    David Strong, Jean-Francois Aujol and Tony Chan, SIAM Journal on Multiscale Modeling and Simulation, volume 5, number 1, pages 273-303, 2006.
  28. Combining geometrical and textured information to perform image classification
    Jean-Francois Aujol and Tony Chan, Journal of Visual Communication and Image Representation, volume 17, number 5, pages 1004-1023, October 2006.
  29. Color image decomposition and restoration
    Jean-Francois Aujol and Sung H. Kang, Journal of Visual Communication and Image Representation, volume 17, number 4, pages 916-928, August 2006.
  30. Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
    Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, International Journal of Computer Vision, volume 67, number 1, pages 111-136, April 2006.
  31. Detecting codimension-two objects in an image with Ginzburg-Landau models
    Gilles Aubert, Jean-Francois Aujol and Laure Blanc-Feraud, International Journal of Computer Vision, volume 65, numbers 1-2, pages 29-42, November 2005.
  32. Dual norms and image decomposition models
    Jean-Francois Aujol and Antonin Chambolle, International Journal of Computer Vision, volume 63, number 1, pages 85-104, June 2005.
  33. Modeling very oscillating signals. Application to image processing
    Gilles Aubert and Jean-Francois Aujol, Applied Mathematics and Optimization, volume 51, number 2, pages 163-182, March/April 2005.
  34. Image decomposition into a bounded variation component and an oscillating component
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, Journal of Mathematical Imaging and Vision, volume 22, number 1, pages 71-88, January 2005.
  35. Optimal partitions, regularized solutions, and application to image classification
    Gilles Aubert and Jean-Francois Aujol, Applicable Analysis, volume 84, number 1, pages 15-35, January 2005.
  36. Wavelet-based level set evolution for classification of textured images
    Jean-Francois Aujol, Gilles Aubert and Laure Blanc-Feraud, IEEE Transactions on Image Processing, volume 12, number 12, pages 1634-1641, December 2003.

 

Recent Research Reports

 

  1. Joint Inpainting of Depth and Reflectance with Visibility Estimation, HAL Preprint 01348304
    M. Bevilacqua, J-F Aujol, M. Brédif, and A. Bugeau, July 2016
  2. Normal Integration - Part II: New Insights, HAL Preprint 01334351
    Y. Queau, J-D Durou and J-F Aujol, June 2016
  3. Normal Integration - Part I: A Survey, HAL Preprint 01334349
    J-D Durou, Y. Queau and J-F Aujol, June 2016
  4. Diffusion and inpainting of reflectance and height LiDAR orthoimages, HAL Preprint 01322822
    P. Biasutti, J-F Aujol, M. Bredif, and A. Bugeau, May 2016
  5. Texture Reconstruction guided by the Histogram of a High-Resolution patch, HAL Preprint 01276582
    M. El Gueche, J-F Aujol, Y. Berthoumieu, and C-A. Deledalle, February 2016
  6. Variational Contrast Enhancement of RGB Images, HAL Preprint 012370388
    F. Pierre, J-F. Aujol, A. Bugeau, G. Steidl, and V. Ta, December 2015
  7. Estimation of the noise level function based on a non-parametric detection of homogeneous image regions, HAL Preprint 01138809
    C. Sutour, C-A. Deledalle, and J-F. Aujol, March 2015
  8. Stability of over-relaxations for the Forward-Backward algorithm, Application to FISTA, HAL Preprint 01163432
    J-F. Aujol and C. Dossal, October 2014
  9. Edge-based multi-modal registration and application for night vision devices, HAL Preprint 01068431
    C. Sutour, J-F. Aujol, C-A. Deledalle, and B. Denis de Senneville, September 2014
  10. Image Zoom Completion, HAL Preprint 01066444
    M. Hidane, J-F. Aujol, Y. Berthoumieu, and C-A. Deledalle, September 2014
  11. Luminance-Chrominance Model for Image Colorization, HAL Preprint 01051308
    F. Pierre, J-F. Aujol, A. Bugeau, N. Papadakis, and V. Ta, July 2014
  12. Hue Constrained Image Colorization in the RGB Space, HAL Preprint 00995724
    F. Pierre, J-F. Aujol, A. Bugeau, V. Ta, May 2014

 

Refereed Conference Publications

 

  1. An ODE-based modeling of inertial Forward-Backward algorithim,
    V. Apidopoulos, J-F. Aujol, and C. Dossal, SPARS 2017, Lisbon, Portugal.
  2. Disocclusion of 3D Lidar point cloud using range images,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, ISPRS workshop 2017, Hannover, Germany.
  3. Hue-preserving perceptual contrast enhancement,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, ICIP 2016, Phoenix.
  4. Visibility estimation and joint inpainting of Lidar depth maps,
    M. Bevilacqua, J-F. Aujol, M. Bredif, and A. Bugeau, ICIP 2016, Phoenix.
  5. Automatic estimation of the noise level function for adaptive blind denoising,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, EUSIPCO 2016, Budapest.
  6. Texture sytnhesis guided by a low-resolution image,
    M. El Gueche, J-F. Aujol, Y. Berthoumieu, C.A. Deledalle and R. Fablet IVMSP 2016, Bordeaux.
  7. Diffusion anisotrope et inpainting d'orthophotographies LiDAR mobile,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, RFIA 2016, Clermont Ferrand, France.
  8. A variational approach for color image enhancement,
    J-F. Aujol, F. Pierre, A. Bugeau, and V-T. Ta, SIAM Conference on Imaging Science 2016, Albuquerque.
  9. Fundamentals of Non-local Total Variation Spectral Theory ,
    J-F. Aujol, G. Gilboa and N. Papadakis, SSVM 2015, Lege Cap Ferret, France.
  10. A Luminance-Hue Specification in the RGB Space,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, SSVM 2015, Lege Cap Ferret, France.
  11. Combinaison lineaire optimale de metriques pour la colorisation d'images,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, GRETSI 2015, Lyon, France.
  12. Estimation du niveau de bruit par la detection non parametrique de zones homogenes,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, GRETSI 2015, Lyon, France.
  13. Adaptive regularization of the NL-means for video denoising,
    C. Sutour, J-F. Aujol, C. Deledalle, and J-P. Domenger, ICIP 2014, Paris.
  14. Exemplar-based colorization in RGB color space,
    F. Pierre, J-F. Aujol, A. Bugeau, N. Papadakis, and V. Ta, ICIP 2014, Paris.
  15. Super-resolution from a Low- and Partial High- Resolution Image Pair,
    M. Hidane, J-F. Aujol, Y. Berthoumieu, and C. Deledalle, ICIP 2014, Paris.
  16. Unified Image Colorization,
    F. Pierre, J-F. Aujol, A. Bugeau, and V. Ta, CPCV, ECCV 2014, Zurich.
  17. A Convex Formulation for Global Histogram Based Binary Segmentation ,
    J-F. Aujol, N. Papadakis, R. Yildizoglu, SIAM Conference on Imaging Science 2014, Hong-Kong.
  18. Examplar-Based Image Colorization Using RGB ,
    J-F. Aujol, F. Pierre, A. Bugeau, V. Ta and N. Papadakis, SIAM Conference on Imaging Science 2014, Hong-Kong.
  19. A Convex Formulation for Global Histogram Based Binary Segmentation,
    R. Yildizoglu, J-F. Aujol, and N. Papadakis, EMMCVPR 2013.
  20. Regularized Discrete Optimal Transport ,
    S. Ferradans, N. Papadakis, J. Rabin, G. Peyre, and J-F. Aujol, SSVM 2013.
  21. Static and dynamic texture mixing using Optimal Transport ,
    S. Ferradans, G-S. Xia, G. Peyre, and J-F. Aujol, SSVM 2013.
  22. Une formulation convexe pour la segmentation binaire d'images a partir d'histogrammes,
    R. Yildizoglu, J-F. Aujol, and N. Papadakis GRETSI 2013, Brest.
  23. TV-NL : Une cooperation entre les NL-means et les methodes variationnelles,
    C. Sutour, J-F. Aujol, and C. Deledalle GRETSI 2013, Brest.
  24. Active contours without level sets,
    Romain Yildizoglu, Jean-Francois Aujol, and Nicolas papadakis, ICIP 2012, Orlando.
  25. Compact representations of stationary dynamic textures,
    Gui-Song Xia, , Sira Ferradans, Gabriel Peyre and Jean-Francois Aujol, ICIP 2012, Orlando.
  26. Proximal Algorithms and CT: New Results on 3D Real Datas and Color CT ,
    Y Boursier, M Dupont, S Anthoine, J-F Aujol, C Melot, SIAM Conference on Imaging Science 2012, Philadelphia.
  27. On the efficiency of proximal methods in CBCT and PET,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, ICIP 2011, Brussels.
  28. Methodes proximales en tomographie CBCT et TEP,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, GRETSI 2011, Bordeaux.
  29. Some proximal methods for CBCT and PET tomography,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, SPIE 2011, San Diego.
  30. On the efficiency of proximal methods for CBCT and PET reconstruction with sparsity constraint,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, SPARS 2011, Edinburgh.
  31. Exemplar-based inpainting from a variational point of view,
    Jean-Francois Aujol, Said Ladjal, and Simon Masnou, SIAM Conference on Imaging Science 2010, Chicago.
  32. Calibrable sets and scales for TV-L2 and TV-L1 models,
    Jean-Francois Aujol, Vincent Duval, and Yann Gousseau, SIAM Conference on Imaging Science 2010, Chicago.
  33. Modeling locally parallel oscillating patterns,
    Jean-Francois Aujol, Pierre Maurel, and Gabriel Peyre, SIAM Conference on Imaging Science 2010, Chicago.
  34. Integration d'un champs de normal en presence de discontinuites
    Jean-Denis Durou and Jean-Francois Aujol, RFIA 2010.
  35. Locally Parallel Textures Modeling with Adapted Hilbert Spaces
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, EMMCVPR 2009, LNCS 5681, pages 429-442.
  36. Integrating the Normal Field of a Surface in the Presence of Discontinuities
    Jean-Denis Durou, Jean-Francois Aujol and Frederic Courteille, EMMCVPR 2009, LNCS 5681, pages 261-273.
  37. Projected gradient based Color Image Decomposition
    Vincent Duval, Jean-Francois Aujol and Luminita Vese, SSVM 2009 , LNCS 5567, pages 295-306.
  38. Accurate Local Scale Measure for Remote Sensing Images
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SSVM 2009 , LNCS 5567, pages 856-867.
  39. Extraction de textures localement paralleles par un espace de Hilbert adapte
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, GRETSI 2009
  40. Morphological Segmentation of Remote Sensing Images Based on Scale
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SIAM Annual Meeting 2008, San Diego.
  41. A Nonconvex Model for Speckle Noise Removal
    Jean-Francois Aujol and Gilles Aubert, SIAM Conference on Imaging Science 2008, San Diego.
  42. A nonconvex model to remove multiplicative noise
    Gilles Aubert and Jean-Francois Aujol, SSVM 2007 , LNCS 4485, pages 68-79.
  43. Cartographie des achelles d'une image a partir de la carte topographique. Applications aux images satellitaires
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Henri Maitre, GRETSI 2007
  44. Extrapolation d'attibuts ondelettes pour l'indexation de bases d'images satellitaires a differentes resolutions
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Said Ladjal, GRETSI 2007
  45. Interpolation of wavelet features for satellite images with different resolutions
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Said Ladjal, IGARSS 2006 , volume 1, pages 176 - 179.
  46. Scale Characterization for Satellite Images
    Bin Luo, Jean-Francois Aujol, Yann Gousseau, Said Ladjal and Henri Maitre, ICASSP 2006 , volume 2, pages 809- 812.
  47. Adaptive Structure-Texture Image Decomposition
    Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, SIAM Conference on Imaging Science 2006 , Minneapolis.
  48. Structure-Texture Decomposition by a TV-Gabor model
    Jean-Francois Aujol, Guy Gilboa, Tony Chan and Stanley Osher, VLSM 2005, LNCS 3752, pages 85-96.
  49. Combined geometric-texture image classification
    Jean-Francois Aujol and Tony Chan, VLSM 2005, LNCS 3752, pages 161-172.
  50. Simultaneous structure and texture compact representation
    Jean-Francois Aujol and Basarab Matei, ACIVS 2004.
  51. Decomposition d'images. Application aux images RSO.
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, GRETSI 2003 .
  52. Wavelet-based level set evolution for classification of textured images
    Jean-Francois Aujol, Gilles Aubert and Laure Blanc-Feraud, ICIP 2003, volume 2, pages 1041-1044.
  53. Image decomposition. Application to SAR images.
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, Scale-Space 2003, LNCS 2695, pages 297-312.

 

Other conferences and workshops

 

  1. Image and video colorization by variational approaches ,
    J-F. Aujol, Internatinal Conference : "Calculus of Variations, Geometric Measure Theory, Optimal Transportation: from Theory to Applications", Lyon, July 2016.
  2. Colorisation d'images basee exemples ,
    J-F. Aujol, F. Pierre, A. Bugeau, V. Ta, N. Papadakis, Estimation de donnees manquantes, GDR ISIS, Marseille, October 2015.
  3. Colorisation d'images par approches variationnelles ,
    J-F. Aujol, F. Pierre, A. Bugeau, V. Ta, N. Papadakis, Journees Scientifique SMAI-SIGMA, Paris, November 2014.
  4. Image colorization by variational approaches ,
    J-F. Aujol, F. Pierre, A. Bugeau, V. Ta, N. Papadakis, Variational methods in imaging, Linz, October 2014.
  5. Proximal methods in tomography CBCT and PET ,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, Journees Traitement de l'image, Marseille, November 2011.
  6. Some proximal methods in tomography CBCT and PET,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, Mathematical imaging in interaction with biomedicine, Edinburgh, September 2011.
  7. On the Efficiency of Some Proximal Algorithms in Tomography,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, Variational Image Analysis : challenges and perspetives, Heidelberg, July 2011.
  8. A comparative review of SAR images speckle denoising methods based on functional minimization,
    Jean-Francois Aujol, Emmanuel Bratsolis, Jerome Darbon, Loic Denis, Jean-Marie Nicolas, Xavier Rondeau, Marc Sigelle, and Florence Tupin,
    SIAM Conference on Imaging Science 2010, Chicago.
  9. Textures : oscillations ou textons ?,
    Jean-Francois Aujol, Journee modelisation geometrique et traitement d'images, Grenoble, 17 Decembre, 2009.
  10. Image decomposition by variational methods,
    Jean-Francois Aujol, Workshop on Models and Images for Porous Media,
    Paris, January 12-16, 2009.
  11. Echelle et resolution en imagerie de teledetection,
    Jean-Francois Aujol, Colloque "Mathematiques pour l'image", Orleans, 1-3 Avril 2008.
  12. Modelisation des images,
    Jerome Gilles et Jean-Francois Aujol, Ecole Analyse Multiresolution pour l'Image,Poitiers, 17-19 Mars 2008.
  13. Variational methods in image processing,
    Jean-Francois Aujol, Inverse Problems in Medical Imaging, Obergurgl, January 22-27, 2008.
  14. A nonconvex model for multiplicative noise removal
    Jean-Francois Aujol, Mathematical image processing meeting, CIRM, September 3-7, 2007.
  15. Restauration d'images et bruit multiplicatif
    Jean-Francois Aujol, SMAI 2007 , Praz sur Arly, Juin 2007.
  16. A variational approach for multiplicative noise removal
    Jean-Francois Aujol, Colloque sur le theme "Mathematiques et Image" , La Rochelle, Mai 2007.
  17. Removing multiplicative noise by a variational approach
    Jean-Francois Aujol, Journees de Metz 2007: PDE and variational methods in image analysis , Metz, Mai 2007.
  18. TV-Hilbert model for image denoising and decomposition
    Jean-Francois Aujol, Workshop "An interdisciplinary approach to Textures and Natural Images Processing", 2007 , Paris .
  19. Recent advances in scale recognition and its application in total variation regularization
    David Strong, Jean-Francois Aujol, and Tony Chan, SIAM Conference on Imaging Science 2006 , Minneapolis .
  20. Color decomposition
    Sung Ha Kang and Jean-Francois Aujol, SIAM Conference on Imaging Science 2006 , Minneapolis .
  21. "Variational methods (I): Image restoration", "Variational methods (II): Image decomposition"
    Jean-Francois Aujol, Optimization Methods in Computer Vision , invited talks, 13-17 March 2006, Les Houches, France .
  22. Filtres de Gabor et décomposition d'images.
    Jean-Francois Aujol, Journees Mathematiques de l'Image , 12-13 January 2006, Nice, France .
  23. Scale Characterization for Remote Sensing Images
    Jean-Francois Aujol, Bin Luo, Yann Gousseau and Henri Maitre, ESA-EUSC 2005: Image Information Mining - Theory and Application to Earth Observation .
  24. Contribution a l'analyse de textures en traitement d'images par methodes variationnelles et equations aux derivees partielles
    Jean-Francois Aujol, GRETSI 2005 (invited talk) .
  25. Decomposition u+v+w
    Jean-Francois Aujol, Workshop "Contenu informatif des images numeriques" (ENS Cachan, France) 25-26 November 2004 .
  26. Classification d'images par contours actifs et ondelettes
    Jean-Francois Aujol, CANUM 2004 .
  27. Modelisation de signaux oscillants en imagerie numerique
    Jean-Francois Aujol, CANUM 2003 .
  28. Signed distance functions and discontinuous Hamilton-Jacobi Equations
    Jean-Francois Aujol and Gilles Aubert, Workshop on Hamilton-Jacobi Equations Cortona 2002.
  29. Distances signees et solutions de viscosite pour une classe d'equations de Hamilton-Jacobi discontinues
    Jean-Francois Aujol and Gilles Aubert, CANUM 2002 .

 

Habilitation a Diriger des Recherches (in French)

 

Utilisation de methodes variationnelles en traitement d'image

 

PhD Thesis (in French)

 

Contribution to texture analysis in image processing by variational methods and partial differential equations (13.9 M) ( 3.5 M ). More information about my PhD Thesis can be found there .
Award: best PhD Thesis in signal and image processing (EEA club award)

 

Talks

 

Click here to see my recent talks.

 



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