Mathematical image processing

Unit Coordinator: Marko Lindner
Programme: Erasmus Mundus
ECTS Credits: 6
Semester: 1
Year: 2
Campus: Hamburg University of Technology
Language: English
Aims:

Students are able to characterize and compare diffusion equations, explain elementary methods of image processing, explain methods of image segmentation and registration, sketch and interrelate basic concepts of functional analysis.

Content:
  • Basic methods of image processing
  • Smoothing filters
  • The diffusion / heat equation
  • Variational formulations in image processing
  • Edge detection
  • De-convolution
  • Inpainting
  • Image segmentation
  • Image registration
Pre-requisites:
  • Analysis: partial derivatives, gradient, directional derivative
  • Linear Algebra: eigenvalues, least squares solution of a linear system
Reading list:

Will be announced in the lecture


Print  

Related Articles