htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag

Signal and Image Processing

Module name (EN):
Name of module in study programme. It should be precise and clear.
Signal and Image Processing
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Bachelor, ASPO 01.10.2005
Module code: E504
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
3V+1U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
4
Semester: 5
Mandatory course: yes
Language of instruction:
German
Assessment:
Written examination

[updated 11.03.2010]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E504 Electrical Engineering, Bachelor, ASPO 01.10.2005 , semester 5, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
E104 Fundamentals of Electrical Engineering I
E203 Fundamentals of Electrical Engineering II


[updated 11.03.2010]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr.-Ing. Dietmar Brück
Lecturer:
Prof. Dr.-Ing. Dietmar Brück


[updated 11.03.2010]
Learning outcomes:
The module Signal and Image Processing aims to teach students how systems theory can be applied to tackle problems in image processing. Students will acquire a basic understanding of the key functions and concepts that underlie the interaction of hardware and software components in image processing systems.
Students will be in a position to understand and tackle a problem in optical quality control and to implement a workable solution. The focus of this module is on practical applications.


[updated 11.03.2010]
Module content:
1.One-dimensional signals in the time domain, mathematical description,  
  representation of the corresponding spectra, terminology of filters and  
  filtering, transition to discrete signals and discrete spectra, sampling, FFT
2.Two-dimensional signals, extending the mathematical theory
3.Images as two-dimensional signals in the spatial domain
4.Image processing algorithms in the frequency domain

[updated 11.03.2010]
Teaching methods/Media:
Overhead transparencies, lecture notes, video projector

[updated 11.03.2010]
Recommended or required reading:
At the beginning of the course, students will be issued with a CD containing all the teaching material used in this module. The CD also contains a complete and regularly updated list of recommended reading materials. As the teaching materials are partly in German and partly in English, international students with a good command of English should therefore be able to follow the lectures without difficulty.
 
Additional references:
R.C. Gonzalez, R.E. Woods, Digital Image Processing, Addison-Wesley, 1992
W.K. Pratt, Digital Image Processing, 2nd ed., Wiley, 1991
F.M. Wahl, Digitale Bildsignalverarbeitung, Springer-Verlag, 1989, (2. Aufl.)
A. Rosenfeld, A.C. Kak, Digital Picture Processing, Vol. 1+2, Academic

[updated 11.03.2010]
 
[Sun Nov 24 14:03:10 CET 2024, CKEY=esub, BKEY=e, CID=E504, LANGUAGE=en, DATE=24.11.2024]