G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing
GREYC CNRS ENSICAEN UNICAEN

A Full-Featured Open-Source Framework for Image Processing



Latest stable version: 3.3.5        Current pre-release: 3.3.6 (2024/03/28)

Reference

Table of Contents  ▸  Scientific Publications◀  Managing 3D Vector Objects    |    Examples of Use  ▶

Scientific Publications


Scientific Publications Associated to the G'MIC Project


Since 2008, the development of our open-source framework G'MIC has led us to publish several research articles about the design of new image processing algorithms.
These publications are listed below. Click on a publication title to access the corresponding .pdf version of the article.
Note that for each of these publications, G'MIC has been used both as a development tool and a research platform. All the algorithms designed and described in these papers are thus now available in G'MIC as new filters or commands.

International Journals (2)

[J2]Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs.
(D. Tschumperlé, C. Porquet, A. Mahboubi).
SIAM Journal on Imaging Sciences (SIIMS), Vol. 13, Issue 3, 1511-1535, September 2020.

[J1]Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions.
(P. Buyssens, M. Daisy, D. Tschumperlé, O. Lézoray).
IEEE Transactions on Image Processing, Vol. 24, No. 6, pp 1809--1824, 15 pages, June 2015.




International Conferences (10)

[C10]A Patch-Based Approach for Artistic Style Transfer via Constrained Multi-Scale Image Matching.
(B. Samuth, D. Tschumperlé, J. Rabin).
IEEE International Conference on Image Processing (ICIP'22), Grenoble/France, Octobre 2022.

[C9]Automatic Illumination of Flat-Colored Drawings by 3D Augmentation of 2D Silhouettes.
(D. Tschumperlé, C. Porquet, A. Mahboubi).
IEEE International Conference on Image Processing (ICIP'22), Grenoble/France, Octobre 2022.

[C8]3D Color CLUT Compression by Multi-Scale Anisotropic Diffusion.
(D. Tschumperlé, C. Porquet, A. Mahboubi).
International Conference on Computer Analysis of Images and Patterns (CAIP'19), Salerno/Italy, September 2019.

[C7]A Fast and Efficient Semi-guided Algorithm for Flat Coloring Line-arts.
(S. Fourey, D. Tschumperlé, D. Revoy).
EUROGRAPHICS International Symposium on Vision, Modeling and Visualization (VMV'18), Stuttgart, October 2018.

[C6]Tensor-directed Spatial Patch Blending for Pattern-based Inpainting Methods.
(M. Daisy, P. Buyssens, D. Tschumperlé, O. Lezoray).
International Conference on Computer Analysis of Images and Patterns (CAIP'15), Valletta/Malta, September 2015.

[C5]A Smarter Examplar-based Inpainting Algorithm using Local and Global Heuristics for more Geometric Coherence.
(M. Daisy, P. Buyssens, D. Tschumperlé, O. Lezoray).
IEEE International Conference on Image Processing (ICIP'14), Paris/France, October 2014.

[C4]A Fast Spatial Patch Blending Algorithm for Artefact Reduction in Pattern-based Image Inpainting.
(M. Daisy, D. Tschumperlé, O. Lezoray).
SIGGRAPH Asia 2013 Technical Briefs, Hong-Kong, November 2013.

[C3]Spatial patch blending for artefact reduction in pattern-based inpainting techniques.
(M. Daisy, D. Tschumperlé, O. Lezoray).
International Conference on Computer Analysis of Images and Patterns (CAIP'13), York/UK, August 2013.

[C2]Tensor-Directed Simulation of Strokes for Image Stylization with Hatching and Contours.
(D. Tschumperlé).
IEEE International Conference on Image Processing (ICIP'11), Brussel/Belgium, September 2011.

[C1]Non-Local Image Smoothing by Applying Anisotropic Diffusion PDE's in the Space of Patches.
(D. Tschumperlé, L. Brun).
IEEE International Conference on Image Processing (ICIP'09), Cairo/Egypt, November 2009.




National Conferences (9)

[NC9]Transfert de style d'images par mise en correspondance multi-échelle et contrainte de patchs..
(D. Tschumperlé, A. Mahboubi, C. Porquet).
Colloque sur le Traitement du Signal et des Images (GRETSI'22), Nancy/France, September 2022.

[NC8]Un algorithme de compression efficace de LUTs 3D couleur basé sur un schéma de diffusion anisotrope multi-échelle.
(D. Tschumperlé, A. Mahboubi, C. Porquet).
Colloque sur le Traitement du Signal et des Images (GRETSI'19), Lille/France, August 2019.

[NC7]Un algorithme semi-guidé performant de colorisation en aplats pour le dessin au trait.
(S. Fourey, D. Tschumperlé, D. Revoy).
Colloque sur le Traitement du Signal et des Images (GRETSI'17), Juan-les-Pins/France, September 2017.

[NC6]Un Algorithme d'Inpainting par Motif Utilisant des Heuristiques Locales et Globales pour une Meilleure Cohérence Géométrique.
(M. Daisy, P. Buyssens, D. Tschumperlé, O. Lezoray).
Colloque sur le Traitement du Signal et des Images (GRETSI'15), Lyon/France, September 2015.

[NC5]Un algorithme rapide de fondu spatial pour la réduction d'artefacts visuels des méthodes d'inpainting ``basés patch''.
(M. Daisy, D. Tschumperlé, O. Lezoray).
Colloque sur la Compression et Représentation des Signaux Audiovisuels (CORESA'13), Le Creusot/France, November 2013.
(Awarded as the Junior Researcher Award of the conference).

[NC4]Extension des pseudo-gris pour la visualisation d'images scalaires sur des périphériques d'affichage couleur à faible profondeur de bits.
(D. Tschumperlé, P. David, O. Lezoray).
Colloque sur le Traitement du Signal et des Images (GRETSI'13), Brest/France, September 2013.

[NC3]Fondu spatial de patchs pour la réduction des artéfacts dans des méthodes génériques d'inpainting basé motifs.
(M. Daisy, D. Tschumperlé, O. Lezoray).
Colloque sur le Traitement du Signal et des Images (GRETSI'13), Brest/France, September 2013.

[NC2]Stylisation d'image basée contours et hachures par simulation de tracés de traits à géométrie tensorielle.
(D. Tschumperlé).
Colloque sur le Traitement du Signal et des Images (GRETSI'11), Bordeaux/France, September 2011.

[NC1]Lissage Non Local d'Images Multi-Valuées par Diffusion Anisotrope dans l'Espace des Patches.
(D. Tschumperlé, L. Brun).
Colloque sur le Traitement du Signal et des Images (GRETSI'09), Dijon/France, September 2009.


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G'MIC - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing

G'MIC is an open-source software distributed under the CeCILL free software licenses (LGPL-like and/or
GPL-compatible). Copyrights (C) Since July 2008, David Tschumperlé - GREYC UMR CNRS 6072, Image Team.