Ensimag Rubrique Formation 2022

Advanced imaging - WMM9AM05

  • Volumes horaires

    • CM 18.0
    • Projet -
    • TD -
    • Stage -
    • TP -
    • DS -

    Crédits ECTS

    Crédits ECTS 3.0

Objectif(s)

In this course, we will first focus on linear methods for image denoising. In this regard, we will investigate some properties of the heat equation and of the Wiener filter. We will then introduce nonlinear partial equations such as the Perona­Malick model for noise removal, and some other similar models. A last part of the course will be devoted to edge detection for which we will consider the Canny approach and, more precisely, we will deal in details with active contours and level sets methods.

Responsable(s)

Sylvain MEIGNEN

Contenu(s)

-Image restoration (Wiener filter, continuous and discrete approaches)
-Edge detection (Canny's and Marr-Hildreth approaches)
-Active contours methods (continuous approach and numerical implementation)
-Anistropic diffusion equations (Perona-Malik equation, Tikhonov regularisation), image segmentation.

Prérequis

Differential calculus (first year ENSIMAG)

Contrôle des connaissances

One written exam at the end of the period. In case of failure, another exam in April (2nd session)

L'examen existe uniquement en anglais FR

Calendrier

Le cours est programmé dans ces filières :

  • Cursus ingénieur - Master 2 Math. et Applications - Semestre 9 (ce cours est donné uniquement en anglais EN)
cf. l'emploi du temps 2020/2021

Informations complémentaires

Code de l'enseignement : WMM9AM05
Langue(s) d'enseignement : FR

Vous pouvez retrouver ce cours dans la liste de tous les cours.

Bibliographie

-Analyse d'images: filtrage et segmentation, édition Masson
-A wavelet tour of signal processing, academic press, S. Mallat