Image processing II
MICRO-512
Media
This file is part of the content downloaded from Image processing II.
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.
- Forum guidelines - to read before you post (Page)
- Announcements (Forum)
- Forum - Exercises (Forum)
- Forum - Labs (Forum)
Schedule and Links
| 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) |
| 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
- IP2 Glossary (File)
- IP2 Appendix (File)
- IP2 - Chapter 6 (File)
- Online Demonstration - Edges / Ridges Detector (URL)
- IP2 - Chapter 7 (File)
- IP2 - Chapter 8 (File)
- IP2 - Chapter 9: Reconstruction in the continuum (File)
- IP2 - Chapter 10 - Computational Imaging (File)
- Review article - Image reconstruction: From the foundations to neural networks (File)
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.
- Exercise 1 (File)
- Exercise 1 - solution (File)
- Exercise 2 (File)
- Exercise 2 - solution (File)
- Exercise 3 (File)
- Exercise 3 - solution (File)
- Exercise 4 (File)
- Exercise 4 - solution (File)
- Exercise 5 (File)
- Exercise 5 - solution (File)
- Exercise 6 (File)
- Exercise 6 - solution (File)
- Exercise 7 (File)
- Exercise 7 -solution (File)
- Exercise 8 (File)
- Exercise 8 - solution (File)
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!