D. Dans-la-seconde-Étape,-compte-tenu-de-la-convexité-globale-de, Yi::, rZMk), nous avons mis en place une procédure de recherche pour trouver la distorsion minimum Di:: parmi les quelques minima locaux dans chaque intervalle [8 k ,8 k + 1] avec 8 k = 1r;!kl (recherche de type exhaustive, mais sur moins d'une dizaine de valeurs) Pour rechercher ces minima locaux, compte tenu de la convexité locale de D k hi::, rZMk) , nous avons adapté l'algorithme de la "section dorée" [72]. Cet algorithme permet de trouver le minimum local de D k hi::, rZMk) dans chaque intervalle

D. Si and ~. Di, = D k et r ZMk = rZMk 3) Algorithme de la "section dorée" sur chaque intervalle 3.1) Initialisation de l'intervalle [8 k , <5 k + 1] 3.2)

<. Si and <. , <5 k ax alors <5 k = <5 k + 1 Retour en 2) Sinon couple optimal trouvé:::? h k ,r ZMk

Q. Modèle-de-débit-de-la, Cette étude est basée sur un modèle de débit entropique par code préfixe pour une source de type Laplacienne (généralement utilisée pour estimer la statistique des coefficients d'ondelettes) Celui-ci, associé à un modèle de distorsion permet d'accélérer la recherche du meilleur couple h'k' r ZMk

. Dans-un and . Temps, amélioration d'un schéma de compression et de tatouage d'images conjoints Nous avons utilisé une approche qui consiste à coupler ces deux processus malgré leurs oppositions en terme d'objectif final (compression: supprimer l'information imperceptible, tatouage: insérer une information inperceptible) La signature est insérée directement sur les vecteurs quantifiés de certaines sous-bandes. Nous avons montré que l

. Dans-le-futur, le modèle de débit que nous avons établi et l'étude du modèle de distorsion qui est en cours, devraient permettre de réduire de manière significative la complexité de notre algorithme de recherche du couple h'k' r ZMk ). D'autre part, la Zone Morte apparaît naturellement adaptée à des applications de compression d'images et de débruitage conjoints

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