My dear friend, my teacher and colleague, Jens-Peer Kuska, died at the 1st of july 2009.

I'm so glad that I took this lecture about OpenGL around 2002, meeting you, an exceptional teacher, whose lectures were so different from others. With your colourful, unusual explanations you were capable of making computer-science students comprehend topics that otherwise would have been impossible. Your ideas on how to explain complicated topics were unlimited. As unlimited as your patience with me was. If I managed to understand tough challenging topics it was due to your constant effort to share your knowledge and to explain it in simpler words. These were the words I wrote in my thesis two years ago. Now, after another two years working side by side with you they are even more true.

I enjoyed the time so much. The discussions we had during our daily snack breaks or the evenings eating Würzfleisch, drinking Coke and talking until late at night. Your bright ideas, your unconventional ways turned every problem into a pleasure. You made me see things in a different light.

There are no words to express the gap you have left behind and how much I will miss you being around. Thank you for giving me such a good time. I will never forget you.

Personally, I visited three of Jens-Peers lectures when I was student, namely OpenGl, Visualization with Mathematica and OpenGL and the lecture Mathematical Methods for Image Processing. But even as Ph.D. student I didn't miss one of the "Image Processing" lectures he held from april 2009 until his death. In this time I took care that the online material was up-to-date and that the blackboard was clean and ready for student-shocking integrals.

The most of the material of the lectures before 2009 can still be found on the old server. When I find a bit of spare time I'll probably put all stuff in one place.

The lecture took place at the Interdisciplinary Centre of Bioinformatics, Härtelstraße 16-18, room 109. It is held every wednesday at 15:15. The notes and examples are created with Mathematica and can be downloaded here.

• The lecture notes as Mathematica 7.0 Notebook lecture01.nb.gz (7.4MB).
• The lecture notes online.

The first lecture gave an introduction to digital image processing. Basic questions were: what are images and how are they represented.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture02.nb.gz (13MB).
• The lecture notes online.

This lecture was about colours and the different colour-spaces.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture03.nb.gz (8.3MB).
• The lecture notes online.

This lecture was about image types and which image type is appropriate for which application. Different dithering methods were shown and lossy/lossless image formats were explained.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture04.nb.gz (5.4MB).
• The lecture notes online.

Reconstruction and resampling was the main topic of this lecture.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture05.nb.gz (0.6MB).
• The lecture notes online.

This lecture was about morphology like erosion, dilation, opening, closing and image labeling.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture06.nb.gz (12MB).
• The Mathematica 7.0 Notebook of the Fourier Transform: ContinuousFourierTransform2D.nb.gz (1.8MB).
• The lecture notes online.
• The notes of the Fourier Transform online.

This lecture was about distance transform and introduces the Fourier transform.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture07.nb.gz (30MB).
• The lecture notes online.

This lecture was about the Fourier transform again.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture08.nb.gz (23MB).
• The lecture notes online.

This lecture was about linear filters.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture09.nb.gz (12MB).
• The lecture notes online.

This lecture was about nonlinear filters like shock filter, anisotropic diffusion filter and total variation filter.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture10.nb.gz (<1MB).
• The lecture notes online.

This lecture was about initial value problems and finite differences.

• The lecture notes as gzipped Mathematica 7.0 Notebook: lecture11.nb.gz (12MB).
• The lecture notes online.

This lecture was about histograms and histogram-operations on images.