Module MA5032-KP04, MA5032

Numerical Methods for Image Computing (NumerikBV)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

  • Master MES 2020, optional subject, mathematics / natural sciences
  • Master Medical Informatics 2019, optional subject, medical image processing
  • Master MES 2014, optional subject, mathematics / natural sciences
  • Master Medical Informatics 2014, optional subject, medical image processing
  • Master MES 2011, optional subject, advanced curriculum imaging systems
  • Master Computer Science 2012, optional subject, advanced curriculum numerical image processing
  • Master CLS 2010, optional subject, mathematics

Classes and lectures:

  • Numerical Methods for Image Computing (exercise, 1 SWS)
  • Numerical Methods for Image Computing (lecture, 2 SWS)

Workload:

  • 65 hours private studies and exercises
  • 45 hours in-classroom work
  • 10 hours exam preparation

Contents of teaching:

  • Imaging process an imaging modalities
  • Grids and image representation
  • Image operators and finite differences
  • Stationary partial differential equations in image processing
  • Image and video compression
  • Variation formulation and statistical interpretation
  • Correctness and regularisation

Qualification-goals/Competencies:

  • The students are familiar with fundamental numerical concepts in image computing.
  • They have experience in realizing practical solutions.
  • They can implement numerical algorithms on a computer.
  • Interdisciplinary qualifications:
  • Students have advanced skills in modeling.
  • They can translate theoretical concepts into practical solutions.
  • They are experienced in implementation.
  • They can think abstractly about practical problems.

Grading through:

  • Written or oral exam as announced by the examiner

Responsible for this module:

Literature:

  • Bredies, Lorenz : Mathematische Bildverarbeitung Springer, 2010
  • Gonzalez, Woods : Digital Image Processing Prentice Hall, 2007
  • Hackbusch : Iterative Lösung großer schwachbesetzter Systeme Teubner, 1993
  • Briggs : A Multigrid Tutorial SIAM, 2000
  • Nocedal, Wright : Numerical Optimization Springer, 2006

Language:

  • German and English skills required

Notes:

Prerequisites for attending the module:
- None (Familiarity with the topics of the required modules is assumed, but the modules are not a formal prerequisite for attending the course).

Prerequisites for the exam:
- Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the first examination.

Examination:
- MA5032-L1: Numerical Methods for Image Computing, written examination (90min) or oral examination (30min) as decided by examiner, 100% of final mark

Last Updated:

01.10.2025