Variational Methods and PDEs for Image Processing University of Bordeaux
The objective of this class is to present variational approaches andpartial differential equations in image processing. Students learn tomathematically model image processing problems and to bring thedesired qualitative property of the model in terms of mathematicalmodeling. Students master the fundamentals in order to be able to adaptclassical variational models and PDE to situations they mightencounter in their future professional life. Practical lab sessions illustrate the theoretical principles developedduring the course.
- Level B2 CEFR in English. - Basic knowledge of mathematical analysis and linear analysis.
Written examination and practical work.
> Lectures and practical work: - 50 hours face-to-face teaching, - 100 hours personal work.
Online Course Requirement
Duration: 12 weeksLanguage of instruction: EnglishMode of delivery: Face-to-face teaching; Personal work
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Jean - François Aujoljeanfirstname.lastname@example.org