Image processing II

MICRO-512

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Course summary

General Information


Course Summary and Goals

This course provides an introduction to advanced image processing concepts, as well as to advanced image-processing software development and prototyping. Our goals are

  • to provide the mathematical foundations and practical techniques for advanced image processing,
  • to train you in high-level and low-level image processing software development for complex applications, 
  • to show you complex real-world applications of image processing in industrial vision and biomedical imaging.


If you have not previously taken Image Processing I, we recommend you reserve some time on the first week of the course to get acquainted with our system for on-line computer laboratories.

Assessment

The objectives of the course will be assessed as follows:

  • 70% final exam
  • 30% IP labs

Forums

The forum offers a place for discussions among you and your classmates. If you would like to get your questions answered by the TA team, we encourage you to attend the dedicated exercise or lab sessions. In particular, if you have questions about the lectures, we encourage you to directly discuss with the professor after class.

Schedule and Links


IP 2 2025
Week Lectures Exercises
Lab
17.02 - 21.02 Lecture 1 (directional analysis)
-
Lab 4 release
24.02 - 28.02 - -
Lab 4 help session, submission
03.03 - 07.03 Lecture 2 (interpolation) Exercise 1
-
10.03 - 14.03 Lecture 3 (splines)
Exercise 2
Lab 5 release
17.03 - 21.03 - -
Lab 5 help session, submission
24.03 - 28.03 Lecture 4 (matrix formalism)
Exercise 3
-
31.03 - 04.04 Lecture 5 (transforms) Exercise 4-
07.04 - 11.04 Lecture 6 (wavelets + computational imaging)
Exercise 5
Lab 6 release
14.04 - 18.04 -
-
Lab 6 help session, submission
21.04 - 25.04 - Easter Break -
-
-
28.04 - 02.05 Lecture 7 (computational imaging)
Exercise 6
-
05.05 - 09.05 Lecture 8 (computational imaging) Exercise 7 -
12.05 - 16.05
Lecture 9 (computational imaging)
Exercise 8
Lab 7 release
19.05 - 23.05 -
- Lab 7 help session, submission
27.05 - 31.05 - Ascension Day - - -


Lectures:
  • Thursdays, 10h15 - 12h00 at CM 1 2 (Auditorium CM 2)

Exercise sessions:

  • Thursdays after the lecture, 12h00 - 12h45 at CM 1 2 (Auditorium CM 2)

Lab help sessions 
(during the submission week):
  • Thursdays, 10h15 - 12h00 at CM 1 2 (Auditorium CM 2)

Course Material


Exercises

  • Exercises are released on Mondays and solutions are published on Fridays.
  • Take your time to review the lecture notes and discuss with your peers if you encounter difficulties with the exercises. As a good practice, we recommend you to try solving the exercises before consulting the TAs.




IP Labs

  • The IP labs are in the form of Jupyter notebooks that are supposed to be solved on Noto, the JupyterHub of EPFL.
  • Link to access the labs: https://go.epfl.ch/IPLABs2024
  • The finished labs should be downloaded locally first and then submitted here on Moodle in the correct format.
  • The submission deadline is one week after the release week, on Friday at 23h59.

Important: please read the Guidelines for IP labs for detailed information!


Additional Resources