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
Spectral Pre-Adaptation for Restoring Real-World Blurred Images using Standard Deconvolution Methods
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Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation
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2022-04-23 · Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini