EE-550 / 6 credits

Teacher:

Language: English

Remark: pas donné en 2023-24


Summary

This course covers fundamental notions in image and video processing, as well as covers most popular tools used, such as edge detection, motion estimation, segmentation, and compression. It is composed of lectures, laboratory sessions, and mini-projects.

Content

Keywords

Contour detection, motion estimation, segmentation, human visual system, image compression, video compression

Learning Prerequisites

Required courses

Fundamental notions of signal processing

Recommended courses

Signal processing for communication

Important concepts to start the course

Sampling, quantization, transforms, programming, algorithms, systems

 

Learning Outcomes

By the end of the course, the student must be able to:

  • Create simple image processing systems
  • Create simple video processing systems
  • Compare image processing tools
  • Compare video processing tools
  • Select appropriately optimal image and video processing tools

Transversal skills

  • Make an oral presentation.
  • Write a scientific or technical report.

Teaching methods

Ex cathedra, laboratory sessions, mini-projects

Expected student activities

Written report of laboratory sessions, oral presentation of mini-projects,  comprehension of various notions presented during the course, resolve simple problems of image and video processing.

 

Assessment methods

Laboratories, mini-project, oral exam

Supervision

Office hours No
Assistants Yes
Forum Yes
Others Students are encouraged to ask for appoitment with the professor any time outside of teaching hours

Resources

Bibliography

handouts of image and video processing course

Fundamentals of Digital Image Processing, A. K. Jain

 

Ressources en bibliothèque

Moodle Link

Prerequisite for

Semester projects , master thesis projects, doctoral thesis

In the programs

  • Semester: Fall
  • Exam form: Oral (winter session)
  • Subject examined: Image and video processing
  • Lecture: 4 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Oral (winter session)
  • Subject examined: Image and video processing
  • Lecture: 4 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Oral (winter session)
  • Subject examined: Image and video processing
  • Lecture: 4 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Exam form: Oral (winter session)
  • Subject examined: Image and video processing
  • Lecture: 4 Hour(s) per week x 14 weeks
  • Project: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

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