Welcome to the web pages of the lecture "Image Processing" in Summer Semester 2025. Here, you will find all content, in particular lecture slides and videos for the different chapters and topics. Additional material or links for further study will also be provided here.
Please carefully study the following detailed information on how the lecture will proceed and what will be required for the final examination.
Overall plan of the lecture
We will have alternating weeks with one lectures and two lectures each. In the weeks with only one lecture, there will be a bi-weekly exercise group in the remaining lecture slot. This exercise group will be led by my Ph.D. student Ulas Bingoel, who will guide you through the exercise sheets, which are designed to give you some practical implementation knowledge on the key methodology. We use MATLAB as a study language here. Solutions should be prepared, but do not have to be submitted, as we do not have the capacity to correct them. You have to be your own judge of your performance here. Note that you will not understand content by just listening to it, but only by working with the material yourself. Therefore, it is in your own interest to do the exercises, in particular, it is also the best preparation for the final exam.
There are accompanying lecture videos recorded in 2021 with the same content, use the schedule below to get a rough idea in which weeks we do the content of the respective videos. Exercises are designed to fit within this schedule.
Schedule for online sessions and content
The following is a preliminary schedule how the content of the lecture is distributed over the upcoming weeks. All videos and slides are already available for study if you want to get a preview.
In the table below, you find
- the date and time of lectures and a preliminary plan of content distribution
- the videos accompanying the lectures, note that they come with short abstracts to summarize the main topics for you
- the date and time of the exercise groups (bi-weekly)
- number and content of the exercise sheet you have to prepare until the exercise group in that week.
1. Week: 7.-11. April
2. Week: 14.-18. April
3. Week: 21.-25. April
|
|
| 23.04. Exercise group: |
Introduction to Matlab |
| Prepare: |
Exercise sheet 1 |
| 25.04. Lecture: |
IP 02 - Image Features Part 1,2 |
| Content: |
Image edges and image derivatives |
4. Week: 28. April - 02. May
|
|
| 30.04. Lecture: |
IP 02 - Image Features Part 3 |
| Content: |
Technical background: Singular Value Decomposition and Applications |
| 02.05. Exercise group: |
Image filtering, image edges |
| Prepare: |
Exercise sheet 2 |
5. Week: 05. - 09. May
6. Week: 12. - 16. May
|
|
| 14.05. Lecture: |
IP 03 - Local Models for Optic Flow |
| Content: |
Introduction to Optical Flow |
| 16.05. Exercise group: |
SVD, The structure tensor of an image |
| Prepare: |
Exercise Sheet 3 |
7. Week: 19. May - 23. May
8. Week: 26. May - 30. May
|
|
| 28.05. Lecture: |
IP 05 - Frequency and Scale |
| Content: |
The Fourier transform of an image, Part 2b and 3 |
| 30.05. Exercise group: |
Local Models for Optical Flow |
| Prepare: |
Exercise Sheet 4 |
9. Week: 2. June - 6. June
10. Week: 9. June - 13. June
11. Week: 16. - 20. June
12. Week: 23. - 27. June
13. Week: 30. June - 04. July
14. Week: 07. - 11. July
15. Week: 14. - 18. July
|
|
| 16.07. |
Question and answer session in preparation for the exam |
| 18.07. |
Exam |
Requirements for acceptance to the final exam
You should work on the exercises and are encouraged to submit solutions bi-weekly on Ilias, although we will not be able to check all of them. It is not a requirement for admission to the exam.
Final exam
Details about the final exam will be published on Ilias once we get closer to the date. A preview of the content is already uploaded on Ilias.