Image Processing
Om utbildningen
The aim of this course is that you become familiar with a wide variety of techniques in modern Image Processing. These techniques can be used to subjectively improve image quality for the end-user (image enhancement), remove known image distortions (image restoration) and to reduce image data sizes for storage or transmission (image compression).
These techniques are valuable in a range of applications and careers including, but not limited to, medical imaging, astronomy, remote sensing, automation etc. Stress is placed on deep understanding of the principles underlying the techniques rather than memory learning of algorithms.
This course is open to
Exchange students at the Faculty of Science and exchange students on a university-wide agreement. Please contact your international coordinator at the University of Gothenburg if you need to know more.
In order to apply for this course you must have knowledge in mathematics and physics equivalent to a Bachelor's degree. The student should also have basic knowledge in programming.
English proficiency
Incoming students should have an English level equivalent of B2 or higher as courses and materials, including presentations and exams, will be in English.
To assess your English level, you can use the self-assessment grid for reference: https://europa.eu/europass/en/common-european-framework-reference
Application
Do you want to apply for exchange studies at the University of Gothenburg?