Mathematical image processing
- Unit Coordinator: Marko Lindner
- 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
