IMAGINE THE POSSIBLITIES....
Image and signal processing affect our daily lives in an
ever-increasing way. Participate in designing this fascinating
technology and shape ITs future function in business
Todays networked image and signal generating devices provide
a historically unmatched volume of raw data for automated decision
making and control systems. The expectations are high:
how can we design new tools and software in order to best distil
A lot of interesting research and development projects in the private
and the public sectors are calling for your expertise. Alternatively,
this degree will open career tracks in Universities and
FROM THEORY TO PRACTICE
The first semester is devoted to a concise study of the theoretical
background, the mathematical models and the algorithms
used in image and signal processing. The second semester additionally
focuses on geometric modelling, audio processing and
other media. Starting with the third semester, specific application
scenarios are discussed and corresponding technologies are investigated.
CHOOSE YOUR ELECTIVE COURSES
These comprise medical imaging, hardware oriented signal processing,
biometric systems, media security and advanced remote
APPLY YOUR SCIENTIFIC KNOWLEDGE
Students start research on their master thesis and acquire
profound IT-project management skills. The fourth semester is
dedicated to the completion of the master thesis. An accompanying
master seminar provides the opportunity for scientific
discourse by presenting and defending the different approaches
Programme Type: Fulltime
Duration: 4 Semesters (2 Years)
Degree: Master of Science in Engineering (MSc)
Costs: 363 Euro per Semester + ÖH-Fees
Academic Leaders: FH-Prof. Univ. Doz. Dr. Stefan Wegenkittl, FH Salzburg; Univ. Prof. Dr. Andreas Uhl, University of Salzburg
University of Salzburg
Department of Computer Science
Jakob-Haringerstr. 2, 5020 Salzburg
University of Applied Sciences Salzburg
Department of Information Technology & Systems Management
Urstein Süd 1, 5412 Puch / Salzburg
Image and signal processing applications in medicine are optimized with respect to the numerous modalities and sensors used. Images need to be segmented, co-registered and processed with respect to contextual knowledge. Students get to know the most popular tools and libraries, and acquire competences in designing solutions for tomorrow‘s medical technology.
Hardware Oriented Signal Processing
Modern architectures for processing images and signals require tailored implementations of algorithmic concepts which exploit the functional framework of the hardware environment and achieve the best possible performance. Students study concepts like fixed point formats, parallelization and hardware description languages and become experts in designing applications on dedicated hardware.
Students study biometric technologies and learn the most common modalities for the identification of individuals. Implications on security and privacy are discussed. Biometry is a generic topic in that various methods and concepts can be found in many other areas of image and signal processing as well, and in that the optimization of systems with respect to risk minimization is of a general nature.
Concepts for encryption, authentification and robust labelling of multimedia data are presented and their application in media forensics is discussed. Since different modalities require highly specialized methods, students will become experts in a range of such algorithms and will be able to design applications that achieve a good compromise between robustness, speed and usability.
Advanced Remote Sensing
Students are introduced to object-based image analysis. They explore multilevel segmentation- and classification hierarchies that allow the extraction of relevant information from aerial and satellite images. Students also become familiar with a suite of professional software tools for designing geographical information systems.
A completed bachelors or diploma programme in the field of informatics or mathematics or related to those, three year´s minimum duration, including core areas informatics and mathematics by a minimum number of 18 and 12 ECTS credit points or 12 and 9 contact hours per week, respectively.
No work experience is required.
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