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Course Jukebox

Course Detail

Degree
Master
Standard Academic Year
2nd year of master
Course delivery methods
face-to-face
Subject
Computer Science
Program
School
Computer Science, Mathematics and Applied Mathematics (UFR IM²AG)
Department
Campus
Grenoble - Domaine universitaire
Classroom
Course Offering Year
Course Offering Month
September - December
Weekday and Period
Capacity
Credits
3
Language
English
Course Number
IGNFYEFF

Advanced imaging Université Grenoble Alpes

Course Overview

In this course, we will first focus on linear methods for image denoising. In this regard, we will investigate some properties of the heat equation and of the Wiener filter. We will then introduce nonlinear partial equations such as the Perona­Malick model for noise removal, and some other similar models. A last part of the course will be devoted to edge detection for which we will consider the Canny approach and, more precisely, we will deal in details with active contours and level sets methods.

Learning Achievement

Competence

Course prerequisites

Grading Philosophy

Course schedule

Course type

Lecture

Online Course Requirement

Instructor

Other information

Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).

Site for Inquiry

Please inquire about the courses at the address below.

Contact person: Bérengère DUC
ri-im2ag@univ-grenoble-alpes.fr