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.
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 
Calendrier
Le cours est programmé dans ces filières :
- Cursus ingénieur - Master 2 Math. et Applications - Semestre 9 (ce cours est donné uniquement en anglais
)
Informations complémentaires
Code de l'enseignement : WMM9AM05
Langue(s) d'enseignement :
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