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            <title xml:lang="fr">Tatouage robuste aux attaques de désynchronisations</title>
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            <idno type="halRefHtml">&lt;i&gt;MajecSTIC : MAnifestation des JEunes Chercheurs en Sciences et Technologies de l'Information et de la Communication&lt;/i&gt;, Nov 2009, Avignon, France. pp.8</idno>
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                <term xml:lang="en">wavelet transform.</term>
                <term xml:lang="en">content-based watermarking</term>
                <term xml:lang="en">desynchronizations</term>
                <term xml:lang="en">transformée en ondelettes. robust Watermarking</term>
                <term xml:lang="en">blobs</term>
                <term xml:lang="en">tatouage basé contenu</term>
                <term xml:lang="en">désynchronisation</term>
                <term xml:lang="en">Tatouage robuste</term>
                <term xml:lang="en">wavelet transform</term>
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              <p>Les grandes familles de tatouage d'image robustes aux désynchronisations sont toutes apparues entre 1998 et 2002. Dans cet article nous reprenons un schéma basé contenu apparu en 2002 : Le schéma de Bas et al. Ce schéma présente un fort potentiel vis-à-vis d'attaques plus difficiles qu'une simple attaque de rotation-changement-d'échelle-translation. Malheureusement, ce dernier est très sensible aux attaques à cause de l'utilisation d'un détecteur de points caractéristique non robuste. Nous proposons donc une amélioration du schéma par utilisation de points caractéristiques multi-échelles : les blobs. De plus, nous renforçons la détectabilité de ces points grâce à un rehaussement d'amplitude. Enfin, nous améliorons la robustesse générale du schéma par un tatouage dans les moyennes fréquences à travers l'utilisation de la transformée en ondelettes. Nos résultats montrent que l'approche proposée est bien plus robuste que l'approche initiale. The different families of image watermarking robust to the desynchronizations all appeared between 1998 and 2002. In this paper we carry on the content-based approach of Bas and al. appeared in 2002. This scheme presents a strong potential with respect to attacks more difficult than a simple rotation-scaling-translation attack. Unfortunately, this scheme is very sensitive to the attacks because it uses a non-robust characteristic points. Thus we propose an improvement of this scheme by using Gaussian scale-space characteristic points : The blobs. Moreover, we reinforce the detectability of those points by increasing of thier magnitude. Lastly, we improve the general robustness of the scheme by an embedding in the wavelet transform domain. Our results show that our scheme is more robust than the initial one.</p>
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