Please note that you are curently looking at the ongoing Academic Programs. Applications are now closed for this academic year (2020-2021) for licences, professional licences, masters, DUT and regulated health training. If you are interested for an application in 2021-2022, please click on this link for the appropriate Academic Programs.
Degrees incorporating this pedagocial element :
Description
The aim of this course is to provide the basics mathematical tools and methods of image processing and applications.
Contents:
- Image definition
- Fourier transform, FFT, applications
- Image digitalisation, sampling
- Image processing: convolution, filtering. Applications
- Image decomposition, multiresolution. Application to compression
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 |
In brief
Period : Semestre 7Credits : 6
Number of hours
- Tutorials (TD) : 4.5h
- Practical work (TP) : 16.5h
- Cours magistral - Travaux dirigés : 33h
Location(s) : Grenoble
Language(s) : English
Contact(s)
Cecile Amblard
