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The Signals and Images department carries out researches related to image processing, sound analysis, 3D geometry generally dealing with massive digital data. The aim is to understand their constitution, identify their content, extract their semantic and build an efficient model of these data. From such models, we may synthetize new data, extract the relevant information, or encode and transmit them.
For more information, consult the Signals and Images department presentation on the IRIT website.
Latest full text publications
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Hugues Kouakou, José Henrique de M Goulart, Raffaele Vitale, Thomas Oberlin, David Rousseau, et al.. On-the-fly spectral unmixing for real-time hyperspectral data analysis. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Dec 2024, Helsinki, Finland. ⟨hal-04774759⟩
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