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Séminaire des Doctorants

  • Le 3 avril 2024 à 17:00
  • Le séminaire des doctorant·es
    Salle de conférence
    Laura Girometti Université de Bologne
    Image decomposition: from modeling to parameter selection
    Decomposing an image into meaningful components is a challenging inverse problem in image processing and has been widely applied to cartooning, texture removal, denoising, soft shadow/spotlight removal, detail enhancement etc. In this talk, I will review the different approaches and models proposed during the years to tackle this problem, focusing on the crucial role played by parameter selection. Then, I will present a two-stage variational model for the additive decomposition of images into piecewise constant, smooth, textured and white noise components and show numerical results of decomposition of textured images corrupted by several kinds of additive white noises.

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