Number of hours
- Lectures 36.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works -
- Written tests -
ECTS
ECTS 6.0
Goal(s)
The course is structured in two parts, treated respectively and independently by Sylvein Meignen and Kévin Polisano. The first part is devoted to differential calculus and its applications in image restoration and edge detection. The second part is dedicated to the construction and practical use of the wavelet transform. Wavelets are basis functions widely used in a large variety of fields: signal and image processing, data compression, smoothing/denoising data, numerical schemes for partial differential equations, scientific visualization, etc. Connections between the two parts will be made on the aspects of denoising, edge detection and graph analysis.
Responsible(s)
Kevin POLISANO, Sylvain MEIGNEN
Content(s)
See: https://polisano.pages.math.cnrs.fr/images/course-wavelet-content.png
Prerequisites
mathematical analysis 1A Ensimag
Test
Evaluation : 50% of Projet (évaluation en continu et sur le rendu) and 50% of Examen Ecrit (3h00)
Resit : Projet (rendu du code et des résultats) + examen écrit (3h00)
*First session*
- Part I – Differential calculus: a written exam (3h) [N1]
- Part II – Wavelets and application: one project and two lab sessions [N2]
*Second session*
The student will have the choice of retaking only one or both parts:
- Part I: a new written exam (3h)
- Part II: continuation of the project after feedbacks from the teacher
Both parts have coefficient 0.5.
All documents are allowed for the written exam.
The exam is given in english only
Calendar
The course exists in the following branches:
- Curriculum - Math. Modelling, Image & Simulation - Semester 9 (this course is given in english only)
Additional Information
Course ID : 5MMDOA
Course language(s): 
You can find this course among all other courses.