Module XM2720-KP03

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

3

Course of studies, specific fields and terms:

• Master Auditory Technology 2022, optional subject, Elective
• Master Biomedical Engineering, compulsory, imaging systems
• Master Auditory Technology 2017, compulsory module depending on previous knowledge , Auditory Technology

Classes and lectures:

• Image and Multidimensional Signal Processing (lecture, 2 SWS)

Workload:

• 30 hours in-classroom work
• 30 hours private studies and exercises
• 30 hours exam preparation

Contents of teaching:

• Development of the fundamentals of 2D signal processing with respect to image processing
• Getting to know simple signal processing methods concerning feature extraction, filtering, and contrast adaption
• Getting to know the basics of different image processing methods such as pre- and post processing, image segmentation and image registration
• Getting to know the mathematical description, numerical Solutions, and algortihmic implementation in digital Signal processing
• Knowledge of the two- and higher-dimensional Fourier transform and their properties
• Knowledge of the sampling theorem for two- and higher-dimensional signals

Qualification-goals/Competencies:

• The students are able to explain the fundamentals of digital image processing.
• They can describe and apply the discretization of images (sampling and quantization).
• They can explain and apply image pre-processing procedures as denoising or interpolation of images.
• They know different image segmentation algorithms.
• They can explain the fundamentals of image registration.
• They can describe and apply necessary image post-processing steps.
• They are able to adopt learned contents application specific.

Grading through:

• written exam

Responsible for this module:

• Prof. Dr. rer. nat. Thorsten Buzug

Teacher:

• Institute of Medical Engineering
• Dr. Ing. Mandy Ahlborg

Literature:

• Rafael C. Gonzales : Digital Image Processing Prentice Hall, New Jersey, 2008
• Bernd Jähne : Digital Image Processing Springer, Berlin Hedelber, 2002
• Kristian Bredies; Dirk Lorenz : Mathematische Bildverarbeitung Vieweg und Teuber, 2011
• Klaus D. Tönnis : Grundlagen der Bildverarbeitung Pearson Studium, 2005

Language:

• offered only in English

Notes:

Last Updated:

18.07.2022