Image Processing On Line

IPOL is a research journal of image processing and image analysis which emphasizes the role of mathematics as a source for algorithm design and the reproducibility of the research. Each article contains a text on an algorithm and its source code, with an online demonstration facility and an archive of experiments. Text and source code are peer-reviewed and the demonstration is controlled. IPOL is an Open Science and Reproducible Research journal.

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Latest Articles

On the Domain Generalization Capabilities of Interactive Segmentation Methods
2024-01-19 · Franco Marchesoni-Acland, Tanguy Magne, Fayçal Rekbi, Gabriele Facciolo
Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination
2024-01-18 · Sylvain W. Combettes, Paul Boniol, Antoine Mazarguil, Danping Wang, Diego Vaquero-Ramos, Marion Chauveau, Laurent Oudre, Nicolas Vayatis, Pierre-Paul Vidal, Alexandra Roren, Marie-Martine Lefèvre-Colau
A Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units
2023-12-08 · Cyril Voisard, Nicolas de l’Escalopier, Albane Moreau, Alienor Vienne-Jumeau, Damien Ricard, Laurent Oudre
A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression
2023-11-09 · Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel