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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
TIETS05 Digital Image Processing 5 ECTS
Organised by
Degree Programme in Computer Sciences
Person in charge
Professor Martti Juhola
Preceding studies
Recommended:
Data Structures, basics of statistics, basics of mathematics and Linear algebra.
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017
TIETS05 Digital Image Processing 5 ECTS

Learning outcomes

After completing the course the student is expected to know the basics of digital image processing.

Contents

Image enhancement and restoration, such as filtering, colour image processing, image compression and segmentation, and morphological image processing are considered.

Teaching methods

Teaching method Contact Online
Lectures 24 h 0 h
Exercises 10 h 0 h

Teaching language

Finnish

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In Finnish
Option 2
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Self-studying, weekly excercises and exam   Participation in course work 
In English

Evaluation

Numeric 1-5.

Belongs to following study modules

Faculty of Natural Sciences
Recommended studies in Applications of Data-Analytics
Faculty of Natural Sciences
Advanced Studies in Computer Science
Faculty of Natural Sciences
Advanced Studies in Computer Science
Faculty of Natural Sciences
Advanced Studies in CS, Computational Methods
Faculty of Natural Sciences
Advanced studies in Computer Sciences
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
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Faculty of Natural Sciences
Degree Programmes