UE Signal and image processing

User information

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Degrees incorporating this pedagocial element :

Master in Mathematics and applications

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

Academic catalogue