Duration:
1 Semester | Turnus of offer:
every second winter semester | Credit points:
5 |
Course of studies, specific field and terms: - Master CLS 2016 (compulsory), mathematics, 1st or 3rd semester
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Classes and lectures: - Mathematics in Image Processing (exercise, 1 SWS)
- Mathematics in Image Processing (lecture, 2 SWS)
| Workload: - 65 Hours private studies and exercises
- 45 Hours in-classroom work
- 10 Hours exam preparation
- 30 Hours work on project
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Contents of teaching: | - Functional-analytic models
- Well-posedness and regularization
- Introduction to calculus of variations, Euler-Lagrange equation
- Image restauration
- Segmentation and lifting methods
- Evolution equations in image processing (discretization, stability)
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Qualification-goals/Competencies: - Students have a solid mathematical understanding of typical image processing methods.
- They can compare and assess typical mathematical image processing methods.
- They can derive typical mathematical methods for image processing.
- They understand fundamental discretization techniques and their numerical analysis.
- They understand typical numerical methods for image processing.
- They are able to implement fundamental numerical methods for image processing.
- Interdisciplinary qualifications:
- Students have advanced skills in modeling.
- They can translate theoretical concepts into practical solutions.
- They are experienced in implementation.
- They can think abstractly about practical problems.
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Grading through: - Written or oral exam as announced by the examiner
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Requires: |
Responsible for this module: Teachers: |
Literature: - Gonzales/Woods: Digital Image Processing - Prentice Hall
- Russ: The Image Processing Handbook - CRC Press
- Handels: Medizinische Bildverarbeitung - Vieweg+Teubner
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Language: - German and English skills required
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Notes:Prerequisites for attending the module: - None (Familiarity with the topics of the required modules is assumed, but the modules are not a formal prerequisite for attending the course). Prerequisites for the exam: - Homework assignments and their presentation are ungraded examination prerequisites which have to be completed and positively evaluated before the first examination. Examination: - MA4500-L1: Mathematical Methods in Image Processing, written examination (90 min) or oral examination (30 min) as decided by examiner, 100% of final mark |
Letzte Änderung: 9.5.2022 |
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