Jan Dirk Wegner: Catalogue data in Spring Semester 2018

Name Prof. Dr. Jan Dirk Wegner
(Professor Universität Zürich (UZH))
Address
I. f. Geodäsie u. Photogrammetrie
ETH Zürich, HIL D 44.2
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 68 08
E-mailjan.wegner@geod.baug.ethz.ch
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
103-0274-AALImage Processing
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.
3 credits2RJ. D. Wegner
AbstractThe objective of this lecture is to introduce the basic concepts of image formation and explain the basic methods of signal and image processing.
ObjectiveUnderstanding 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.
ContentThe 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 notesA script will be provided as PDF files on the lecture website.
LiteratureWe 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 / NoticeThe lecture is accompanied by programming assignments, that need to be completed in order to pass the course.
103-0274-00LImage Processing3 credits2GJ. D. Wegner
AbstractThe objective of this lecture is to introduce the basic concepts of image processing and to explain basic signal processing methods.
ObjectiveThe objective of this course is to gain an understanding of core methods and algorithms in image processing, computer vision, and the underlying signal processing foundations. Image processing algorithms will be applied to relevant problems in photogrammetry, computer vision, and remote sensing.
ContentThe following topics will be covered in the course:
- Properties of digital images
- Signal processing/Sampling
- Image compression
- Image filtering
- Geometrical transforms
- Color spaces
- Image restoration/enhancement: Spatial and Fourier domain
- Morphological operations
- Point and line detection
- Similarity measures and image matching
- Texture
- Image segmentation
Lecture notesA script will be provided as PDF files on the lecture website.
LiteratureWe 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 / NoticeThe lecture is accompanied by programming assignments, where the fundamental methods are programmed by the students and applied to typical image processing problems. Three of these assignments will be graded and contribute 30% to the final grade of the course. A written exam will cover the remaining 70% of the grade.