Lectures in Finnish and exercises in English. Course can be passed in Finnish and English.
Spring, period 4.
Upon completion of the course the student:
- understands the basic theory of digital image processing and knows its main applications,
- is able to apply spatial and frequency domain and wavelet based methods in image enhancement, restoration, compression and segmentation.
1. Fundamentals of digital images, 2. Image enhancement in spatial and frequency domains, 3.Image restoration, 4. Color image processing, 5. Wavelets, 6. Image compression, 7. Morphological image processing and 8. Image segmentation.
Lectures 24 h, exercises 14 h and homework assignments 30 h. The rest is independent work.
Computer Science and Engineering students and other Students of the University of Oulu.
In order to obtain deep understanding of the content, it is a benefit if the student has completed the mathematics courses in the computer science and engineering BSc program or otherwise has equivalent knowledge.
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, Third Edition, Prentice-Hall, 2008, Chapters 1-10. Lecture notes and exercise
The course is completed by passing the exam and homework assignments.
Read more about assessment criteria at the University of Oulu webpage.
The course unit utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.