103-0274-AAL Image Processing
|Spring Semester 2021
|K. Schindler, J. D. Wegner
|every semester recurring course
|Language of instruction
|Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.
Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
|The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
|Understanding core methods and algorithms in image processing and computer vision and the underlying signal processing foundations.
Applying image processing algorithms to relevant problems in photogrammetry and remote sensing.
|The following topics will be covered in the course:
- Properties of digital images
- Signal processing/Sampling
- Image enhancement
- Image restoration: Spatial domain
- Image restoration: Fourier domain
- Image compression
- Feature extraction
- Texture analysis
- Image segmentation
|A script will be provided as PDF files on the lecture website.
|We suggest the following textbooks for further reading:
Rafael C. Gonzalez, Richard E. Woods
Digital Image Processing
Prentice Hall International, 2008
Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods:
Digital Image Processing Using MATLAB
Prentice Hall, 2003
|Prerequisites / Notice
|The lecture is accompanied by programming assignments, that need to be completed in order to pass the course.