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 Review of t-SNE
2024-10-31 · Sangwon Jung, Tristan Dagobert, Jean-Michel Morel, Gabriele Facciolo
Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization
2024-10-29 · Roxane Leduc, Hernan Carrillo, Nicolas Papadakis
Accelerating NeRF with the Visual Hull
2024-07-26 · Roger Marí
A Brief Evaluation of InSAR Phase Denoising and Coherence Estimation with Phi-Net
2024-07-26 · Roland Akiki, Jérémy Anger, Carlo de Franchis, Gabriele Facciolo, Raphaël Grandin, Jean-Michel Morel
Survival Forest for Left-Truncated Right-Censored Data
2024-07-16 · Vincent Laurent, Olivier Vo Van
Dehazing with Dark Channel Prior: Analysis and Implementation
2024-06-24 · Jose-Luis Lisani, Charles Hessel