Mathematical Image Processing

MODULE TYPE: SDG11
MODULE DESCRIPTION
The course introduces participants to the mathematical framework of image processing and the mathematical techniques to tackle problems of mathematical imaging, including contrast enhancement, denoising, edge detection, sharpening, inpainting, segmentation and registration.The course consists of a weekly lecture and an exercise session with weekly assignments to be completed in groups.
LEARNING OUTCOMES
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
Module level: Advanced
Degree level:Master, Bachelor
Language: English
Study mode: Currently Online
SDG11 Theme:
ECTS: 6
Semester: autumn
Starting date: 15.10.2021
Finishing date: 1.3.2022
Enrollment period: September 2021
Participation Info: Please fill this document and send it to the admission-contact person: katharina.linnemann@tuhh.de