SGN-12007 Introduction to Image and Video Processing, 5 cr

Lisätiedot

This course is equivalent to SGN-12001

Vastuuhenkilö

Sari Peltonen, Jenni Raitoharju, Moncef Gabbouj

Opetus

Osaamistavoitteet

After completing the course, the student is able to - explain the basics of human visual system, brightness adaptation and discrimination, image formation, image sampling and quantization, - present verbally or with mathematical formulas the spatial and frequency domain enhancement and restoration methods considered on the course for digital gray-scale images, - calculate outputs of the methods for simple images using the calculator, - explain the basics of color vision and pseudocolor images and the color models considered on the course, - explain the basic concepts of video processing, - implement covered operations independently for images using Matlab software.

Sisältö

Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi

The grade is determined by the exam (max 30 p.), exercises bonus (max 2 p.) and assignment bonus (max 2 p.). To pass the course the students has to have 8 out of 12 exercises accepted, assignment accepted and at to get least half of the exam maximum points. Exercises bonus (max 2 p.) and assignment bonus (max 2 p.) are valid only for the 3 exams of this implementation of the course. For the grade 3 the student should master the core content well. To obtain grade 4 student should also master some of the complementary knowledge. Student has the possibility to obtain grade 5 if he/she master well the complementary knowledge. If the students has minor lack of knowledge in core content he/she has possibility to obtain grade 1 or 2 depending on the amount of lacking knowledge. If there is serious lack of knowledge in core content, the student will not pass the course.

Arvosteluasteikko:

Numerical evaluation scale (0-5)

Osasuoritukset:

Completion parts must belong to the same implementation

Oppimateriaali

Esitietovaatimukset

Tietoa esitietovaatimuksista
Either SGN-11007 or equivalent knowledge of the basics of digital signal processing is required.

Vastaavuudet