D. Tschumperlé

发表

Orthonormal Vector Sets Regularization with PDE's and Applications

Rachid Deriche, David Tschumperlé, R. Deriche, 2002, International Journal of Computer Vision.

Regularization of orthonormal vector sets using coupled PDE's

R. Deriche, D. Tschumperlé, R. Deriche, 2001, Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision.

Regularizing Flows for Constrained Matrix-Valued Images

Rachid Deriche, Olivier Faugeras, David Tschumperlé, 2004 .

IMAGE DENOISING AND REGISTRATION BY PDE'S ON THE SPACE OF PATCHES

D. Tschumperlé, L. Brun, 2008 .

PDE's based regularization of multivalued images and applications

D. Tschumperlé, 2002 .

Defining Some Variational Methods on the Space of Patches : Applications to Multi-Valued Image Denoising and Registration

D. Tschumperlé, L. Brun, 2008 .

Anisotropic Diffusion Partial Differential Equations for Multichannel Image Regularization: Framework and Applications

R. Deriche, D. Tschumperlé, 2007 .

Anisotropic Smoothing of Images with PDE ’ s : A Review

D. Tschumperlé, 2006 .

Anisotropic Diffusion PDE's for Multi-Channel Image Regularization : Framework and Applications

R. Deriche, D. Tschumperlé, 2008 .

Anisotropic Diffusion Partial Differential Equations in Multi-Channel Image Processing : Framework and Applications.

R. Deriche, D. Tschumperlé, 2007 .

Variational formalisms for DT-MRI Estimation , Regularization and Visualization

R. Deriche, D. Tschumperlé, 2022 .

A Variational Framework for the Robust Estimation of ODFs From High Angular Resolution Diffusion Images

Luc Brun, David Tschumperlé, Haz-Edine Assemlal, 2007 .

Differential Methods for Multidimensional Visual Data Analysis

David Tschumperlé, Werner Benger, Holger Theisel, 2020 .

ffi cient and Robust Computation of PDF Features from Di ff usion MR Signal

D. Tschumperlé, L. Brun, Haz-Edine Assemlal, 2017 .

New Results - Observing and modeling the brain

Rachid Deriche, Jean-Philippe Pons, Christophe Lenglet, 2005 .

Editorial of the special issue on Computational Image Editing

David Tschumperlé, Ta Vinh Thong, Marcelo Bertalmío, 2021, Signal Process. Image Commun..

Recent advances in diffusion MRI modeling: Angular and radial reconstruction

Kaleem Siddiqi, Luc Brun, David Tschumperlé, 2011, Medical Image Anal..

Depth-Guided Disocclusion Inpainting of Synthesized RGB-D Images

David Tschumperlé, Olivier Le Meur, Olivier Lézoray, 2017, IEEE Transactions on Image Processing.

Exemplar-based video completion with geometry-guided space-time patch blending

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2015, SIGGRAPH Asia Technical Briefs.

Tensor-Directed Spatial Patch Blending for Pattern-Based Inpainting Methods

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2015, CAIP.

Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2015, IEEE Transactions on Image Processing.

Differential Methods for Multi-dimensional Visual Data Analysis

David Tschumperlé, Werner Benger, Holger Theisel, 2015, Handbook of Mathematical Methods in Imaging.

A smarter exemplar-based inpainting algorithm using local and global heuristics for more geometric coherence

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Tensor-directed simulation of strokes for image stylization with hatching and contours

David Tschumperlé, D. Tschumperlé, 2011, 2011 18th IEEE International Conference on Image Processing.

Non-Local Regularization and Registration of Multi-Valued Images By PDE’s and Variational Methods on Higher Dimensional Spaces

Luc Brun, David Tschumperlé, D. Tschumperlé, 2011 .

Non-local image smoothing by applying anisotropic diffusion PDE's in the space of patches

Luc Brun, David Tschumperlé, D. Tschumperlé, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences

Mohamed-Jalal Fadili, David Tschumperlé, Yohan Bentolila, 2007, 2007 IEEE International Conference on Image Processing.

Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's

David Tschumperlé, D. Tschumperlé, 2006, International Journal of Computer Vision.

Curvature-Preserving regularization of multi-valued images using PDE's

David Tschumperlé, D. Tschumperlé, 2006, eccv 2006.

Vector-valued image regularization with PDEs: a common framework for different applications

Rachid Deriche, David Tschumperlé, R. Deriche, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

LIC-based regularization of multi-valued images

David Tschumperlé, D. Tschumperlé, 2005, IEEE International Conference on Image Processing 2005.

High Quality deinterlacing using Inpainting and shutter-Model Directed Temporal interpolation

Bernard Besserer, David Tschumperlé, D. Tschumperlé, 2004, ICCVG.

Vector-valued image regularization with PDE's: a common framework for different applications

Rachid Deriche, David Tschumperlé, R. Deriche, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Diffusion PDEs on vector-valued images

Rachid Deriche, David Tschumperlé, R. Deriche, 2002, IEEE Signal Process. Mag..

Spatial Patch Blending for Artefact Reduction in Pattern-Based Inpainting Techniques

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2013, CAIP.

Fiber Tracking on HARDI Data using Robust ODF Fields

Luc Brun, David Tschumperlé, Haz-Edine Assemlal, 2007, 2007 IEEE International Conference on Image Processing.

Variational frameworks for DT-MRI estimation, regularization and visualization

Rachid Deriche, David Tschumperlé, R. Deriche, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

The CImg Library

David Tschumperlé, D. Tschumperlé, 2012 .

Regularizing Flows for Constrained Matrix-Valued Images

Rachid Deriche, Olivier D. Faugeras, David Tschumperlé, 2004, Journal of Mathematical Imaging and Vision.

Inpainting d’Images Couleurs par Lissage Anisotrope et Synthèse de Textures Color Image Inpainting by Anisotropic Smoothing and Texture Synthesis

V. Do G. Lebrun, L. Malapert, C. Smet, 2005 .

Tensor Field Visualization with PDE ’ s and Application to DT-MRI Fiber Visualization

R. Deriche, D. Tschumperlé, David. Tschumperle, 2003 .

DT-MRI estimation, regularization and fiber tractography

Rachid Deriche, Christophe Lenglet, David Tschumperlé, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A Time-Consistent Video Segmentation Algorithm designed for Real-Time Implementation

Marinette Revenu, Delphine Rivasseau, Stéphanie Jehan-Besson, 2006, 2006 13th IEEE International Conference on Electronics, Circuits and Systems.

Variational, geometric, and statistical methods for modeling brain anatomy and function

Rachid Deriche, Jean-Philippe Pons, Christophe Lenglet, 2004, NeuroImage.

Superpixel-based depth map inpainting for RGB-D view synthesis

David Tschumperlé, Olivier Lézoray, Maxime Daisy, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization

Rachid Deriche, Olivier D. Faugeras, David Tschumperlé, 2002, ECCV.

G'MIC (GREYC's Magic for Image Computing)

David Tschumperlé, Sébastien Fourey, Sébastien Fourey, 2020 .

Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs

David Tschumperlé, Christine Porquet, Amal Mahboubi, 2020, SIAM J. Imaging Sci..

3D Color CLUT Compression by Multi-scale Anisotropic Diffusion

David Tschumperlé, Christine Porquet, Amal Mahboubi, 2019, CAIP.

An Efficient 3D Color LUT Compression Algorithm Based on a Multi-Scale Anisotropic Diffusion Scheme

David Tschumperlé, Christine Porquet, Amal Mahboubi, 2019 .

A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts

David Tschumperlé, Sébastien Fourey, David Revoy, 2018, VMV.

Diffusion tensor regularization with constraints preservation

Rachid Deriche, David Tschumperlé, R. Deriche, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Efficient and robust computation of PDF features from diffusion MR signal

Luc Brun, David Tschumperlé, Haz-Edine Assemlal, 2009, Medical Image Anal..

Regularizing Flows for Constrained Matrix-Valued Images

Mila Nikolova, M. Nikolova, D. Tschumperlé, 2004, Journal of Mathematical Imaging and Vision.

Regularizing Flows for Constrained Matrix-Valued Images

D. Tschumperlé, R. Deriche, C. Chefd'Hotel, 2004, Journal of Mathematical Imaging and Vision.

imager: an R package for image processing based on CImg

David Tschumperlé, Simon Barthelmé, D. Tschumperlé, 2019, J. Open Source Softw..