103-0274-AAL Image Processing
| Semester | Spring Semester 2021 |
| Lecturers | K. Schindler, J. D. Wegner |
| Periodicity | every semester recurring course |
| Language of instruction | English |
| Comment | 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. |
| Abstract | The objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing. |
| Learning objective | 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. |
| Content | 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 - Color/Demosaicing - Image compression - Feature extraction - Texture analysis - Image segmentation |
| Lecture notes | A script will be provided as PDF files on the lecture website. |
| Literature | We suggest the following textbooks for further reading: Rafael C. Gonzalez, Richard E. Woods Digital Image Processing Prentice Hall International, 2008 ISBN: 013168728X Rafael C. Gonzalez, Steven L. Eddins, Richard E. Woods: Digital Image Processing Using MATLAB Prentice Hall, 2003 ISBN: 0130085197 |
| Prerequisites / Notice | The lecture is accompanied by programming assignments, that need to be completed in order to pass the course. |