Degrees incorporating this pedagocial element :
Description
Contents:
- Image definition
- Fourier transform, FFT, applications
- Image digitalisation, sampling
- Image processing: convolution, filtering. Applications
- Image decomposition, multiresolution. Application to compression
This course includes practical sessions.
The aim of this course is to provide the basics mathematical tools and methods of image processing and applications.
Recommended prerequisite
Geometry and analysis from L3 mathematics/applied mathematics
Targeted skills
Tools for image processing (see objectives above)
Knowledge assessment methods
Session 1 ou session unique - Contrôle des connaissances
| Type of teaching provided | Method | Type | Duration (min) | Coefficient |
|---|---|---|---|---|
| Teaching Unit (UE) | 100/100 | |||
| Teaching Unit (UE) | Written - supervised work | 120 | 100/100 |
Session 2 - Contrôle des connaissances
| Type of teaching provided | Method | Type | Duration (min) | Coefficient |
|---|---|---|---|---|
| Teaching Unit (UE) | Calculation report | 100/100 | ||
| Teaching Unit (UE) | Written or Oral | 100/100 |
Courses offered by :
In brief
Period : Semester 7Credits : 6
Number of hours
- Lectures (CM) & Teaching Unit (UE) : 33h
- Practical work (TP) : 16.5h
Hing methods : In person
Location(s) : Grenoble
Language(s) : English
Contact(s)
Program director
Sylvain Meignen
International students
Open to exchange students