Multimedia Computing and Computer Vision Lab












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SS08: Digital Image Processing

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Recent Exercise:
Recent Slides:


Instructors: Prof. Dr. Rainer Lienhart, Eva Hörster
Time Lecture: Tue, 8:15 - 9.45, Room: 207 Eichl.
Time Exercise: Wed, 10.00 - 11.30, Room: 202 Eichl. LectureReg
Credits: 4 SWS, Schein, yes, LP 5
Exam: Di, 15.07.2008, 8.15 - 9.45, Room: 207 Eichl
Multimedia Teilbereiche: Multimedia Methoden, Multimedia Anwendungen

You may inspect your exams on Wednesday, July 16th, from 10:00-11:30am.

In order to be admitted to the final exam, students are required:

  • to score at least 50% of the points archievable on the weekly assignments
  • to attend the weekly exercise sessions (Wednesday, 10:00-11:30am). Students are allowed to miss the exercise session at most three times. No exceptions!

In die Klausur darf neben Schreibutensilien, Taschenrechner, und Essen & Getränken nichts mitgenommen werden!.


  1. Bernd Jähne. Digital Image Processing. Springer Verlag.
  2. David A. Forsyth and Jean Ponce. Computer Vision: A Modern Approach. Prentice Hall, Upper Saddle River, New Jersey 07458.( )
  3. Martin Schader and Stefan Kuhlins. Programmieren in C++. Springer-Verlag. ISBN 3540637761
    This is a perfect resource for all your questions relating C/
  4. Simon Hoffmann and Rainer Lienhart. OpenMP: Eine Einführung in die parallele Programmierung mit C/C++, Springer Verlag, April 2008, ISBN: 978-3-540-73122-1. (zur Verlagsseite)

Important Comments

  • There will be no exercise lecture on June 11th
  • Since May 12th is a holiday, the due date for handing in the solutions to exercise 3 has been moved to Wednesday, May 14th, 9:30 AM.
  • Homework solutions can be handed in in groups of at most two students. These workgroups must stay together for the whole of the semester.
  • Vorlesung wird auf Deutsch gehalten (trotz der englischsprachigen Folien und Literatur)
  • All reading notes are relevant for the exams independent on how thoroughly they have been discussed during the lecture. Thus read and study them carefully.


Date Content Slides Exercise
15.04 Introduction to Digital Image Processing PDF
22.04 Image Sensors PDF PDF
29.04 Cameras & Camera Calibration PDF, PDF
06/20.05 Image Representation PDF PDF
14.05 Ex4 PDF Ex5 PDF
27.05/03.06 Color Spaces PDF PDF
10.06/17.06 Image Statistics and Image Models PDF PDF video
17.06 Pixel Operations PDF PDF
24.06 Neighborhood Operations PDF PDF
01.07 Averages and Edges PDF PDF
 ??.?? Salient Points PDF
15.07.2008 Examine
Come prepared. For a successful examine please prepare at least 2-3 weeks carefully and thoroughly!
22.07 Klausureinsicht
9am - 11am, Room: 306 Eichl.