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

A Reliable JPEG Quantization Table Estimator
2022-05-24 · Tina Nikoukhah, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi
Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances
2022-04-25 · Luis Gomez, Jie Wu, Alejandro C. Frery
Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations
2022-04-25 · Samy Blusseau, Santiago Velasco-Forero, Jesús Angulo, Isabelle Bloch
Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation
2022-04-23 · Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
Bilateral K-Means for Superpixel Computation (the SLIC Method)
2022-04-21 · Robin Gay, Jérémie Lecoutre, Nicolas Menouret, Arthur Morillon, Pascal Monasse
A Parallel, O(n) Algorithm for an Unbiased, Thin Watershed
2022-04-08 · Théodore Chabardès, Petr Dokládal, Matthieu Faessel, Michel Bilodeau