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            <title xml:lang="fr">Estimation du niveau de bruit par arbre des formes et statistiques non paramétriques</title>
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            <idno type="halRefHtml">&lt;i&gt;Proceedings of the 27st Symposium on Signal and Image Processing (GRETSI)&lt;/i&gt;, Aug 2019, Lille, France</idno>
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              <p>La connaissance du niveau de bruit dans une image est précieuse pour de nombreuses applications en traitement d'images. L'estimation de la fonction de niveau de bruit requiert l'identification des zones homogènes sur lesquelles les paramètres du bruit peuvent être calculés. Sutour et al. en 2015 ont proposé une méthode d'estimation de la fonction de niveau de bruit se basant sur la recherche de zones homogènes de forme carrée, donc inadaptées au contenu local de l'image. Nous généralisons cette méthode à la recherche de zones homogènes de forme quelconque en nous basant sur la représentation par arbre des formes de l'image étudiée, permettant ainsi une estimation plus robuste de la fonction de niveau de bruit.</p>
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