Course Unit

Catalogue

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

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A network of 12 European Universities, coordinated by Department of Information Engineering, Computer Science and Mathematics (DISIM) at University of L'Aquila in Italy (UAQ)