Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
To understand principles of sampling and reconstruction of a signal. To understand and apply Fourier transformation of images. To understand and apply linear space-invariant systems with images. To understand and apply basic digital image processing tasks, such as image restoration, image enhancement, image compression, and image correlation. To understand and apply how edges and interesting points can be extracted from images. To understand segmentation of digital images.
Schedule: 12.01.2021 - 23.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Petri Rönnholm
Teacher in charge (applies in this implementation): Petri Rönnholm
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: Finnish, Swedish, English
CONTENT, ASSESSMENT AND WORKLOAD
The course gives fundamentals of signal processing focusing on digital images. Mathematical principles of image enhancing and restoration are given. The course also illustrates how areas, breaklines and interesting points, such as corners and centers of circles, can be extracted automatically from images.
Assessment Methods and Criteria
Examination and assignments
Lectures (20 h), assignments (50 h), self-study (38 h), preparation for examination + examination (27 h)
Lecture notes and additional literature
Substitutes for Courses
Maa-57.3130 Digitaalinen fotogrammetria I (4 op)
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