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Advanced Image Analysis

Winter Term 2021

Advanced Image Analysis

Advanced Image Analysis

Lecturer: Dr. Pascal Peter

Winter Term 2021

Lecture (2h) with exercises (2h)
6 credit points

Lectures: Recorded Digital Lectures + Live Q&A
Monday 14-16 c.t.
First Q&A: Monday, October 25, 2021

Tutorials: Friday 14-16 c.t.

First Tutorial: Friday, November 12, 2021



AnnouncementsDescriptionEntrance requirementsTutorialsExams
Lecture notes/AssignmentsReferences



01/11/2021 Registration is now closed.
04/10/2021 Update on the Lecture Mode: In order to enable participation for all students, the course will be fully digital as anticipated in the previous announcement. We will use Microsoft Teams as a communication and content hub for the lecture. Regular teaching will begin on Monday, October 25, 2021, but you can already register for the course to gain early access to Teams. Registration was open This also gives you access to an introduction video that can help you to decide if this lecture is interesting to you.

06/08/2021 Website is online

Registration for this lecture was possible until Sunday, Oct 31, 2021. Keep in mind that in most courses of studies, you also have to register via the HISPOS system of the Saarland University


In this lecture, we will discuss advanced topics in the fields of image processing and computer vision. Most of the presented methods fuse the information from several images in order to produce an enhanced composite image. Examples for such techniques are super-resolution, high dynamic range (HDR) imaging, tone mapping and gradient domain techniques.

Example: Freehand High Dynamic Range Imaging
Exposure series Tone mapped HDR reconstruction without and with alignment


Requires undergraduate knowledge in mathematics (e.g. ''Mathematik für Informatiker I-III''), and elementary C knowledge. Basic knowledge in image processing and computer vision is recommendable. The lectures and tutorials will be given in English.


There are both practical and theoretical weekly assignments. They will be discussed in tutorial sessions and written solutions will be available. Exam admission requires both regular submission of homework and tutorial attendance. Details can be found in the introductory lecture.

If you have questions concerning the tutorials, please do not hesitate to contact Pascal Peter.


There will be two closed book written exams:

The first written exam will take place on Friday, February 18, 2022 from 2:00 to 5:00 pm in Building E2.2, Günter Hotz Lecture Theatre.
The second written exam will take place on Monday, April 4, 2022 from 2:00 to 5:00 pm in Building E2.2, Günter Hotz Lecture Theatre.

Please note that due to the dynamics of the Sars-Cov2 pandemic, changes to the exam schedule or mode might be necessary. You can find the detailed rules for our exams in the self test assignment in the Teams file repository.
You can participate in both exams, and the better grades counts. Please remember that you have to register online for the exam in the HISPOS system of the Saarland University.

If you cannot attend the exam, contact Pascal Peter as early as possible. In case you have proof that you cannot take part for medical reasons or you have another exam on the same day, we can offer you an oral exam as a replacement. Note that we need written proof (e.g. a certificate from a physician/Krankenschein) for the exact date of the exam.

Lecture notes / Assignments

Lecture content in form of videos, slides, and assignments are available for download via Microsoft Teams. Access will be granted after registration. Note that the initial registration requires manual confirmation and can thus be delayed a bit.

The assignments and the source code needed for the programming assignments will be provided here during the semester.


    There is no specific book that covers the complete content of this class. Many lectures will be based on articles from journals and conferences. However, the recent book of R. Szeliski covers some of the topics and additionally summarises most of the intensively studied areas of computer vision research:
  • R. Szeliski: Computer Vision: Algorithms and Applications.
    ISBN: 978-1-84882-934-3, Springer, Berlin, 2011.
    Note: You can download a PDF version of the book here.

Further references will be given during the lecture.



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