This course introduces the principles of digital image and video processing, discusses current image and video processing technology, and provides hands-on experience with image/video processing and communication methods. The course includes topics on image filtering and restoration, image transform algorithms, multiresolution image processing, image matching and segmentation techniques, as well as image and video compression.
EQ2330 Image and Video Processing 7.5 credits

This course introduces the principles of digital image and video processing, discusses current image and video processing technology, and provides hands-on experience with image/video processing and communication methods. The course includes topics on image filtering and restoration, image transform algorithms, multiresolution image processing, image matching and segmentation techniques, as well as image and video compression.
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Autumn 2025 Start 27 Oct 2025 programme students
- Course location
KTH Campus
- Duration
- 27 Oct 2025 - 12 Jan 2026
- Periods
- P2 (7.5 hp)
- Pace of study
50%
- Application code
50339
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Min: 10
- Target group
Open to all programmes as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Master's Programme, Embedded Systems, åk 1, INPF, Recommended
Master's Programme, ICT Innovation, åk 2, VCCN, Mandatory
Master's Programme, Information and Network Engineering, åk 1, Recommended
Master's Programme, Information and Network Engineering, åk 1, MMB, Mandatory
Master's Programme, Information and Network Engineering, åk 2, Recommended
Master's Programme, Interactive Media Technology, åk 1, Conditionally Elective
Master's Programme, Interactive Media Technology, åk 2, Conditionally Elective
Master's Programme, Mechatronics, åk 1, Conditionally Elective
Master's Programme, Mechatronics, åk 2, Conditionally Elective
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus EQ2330 (Autumn 2024–)Content and learning outcomes
Course contents
Intended learning outcomes
After passing this course, participants should be able to
- describe and use the principles of digital image and video processing to develop image processing algorithms,
- develop image processing algorithms for image filtering and restoration, image transformation and multiresolution processing, image and video compression, as well as image matching and segmentation,
- implement (for example with MatLab) and assess the developed image processing algorithms,
- explain algorithm design choices using the principles of digital image/video processing,
- develop image processing algorithms for a given practical image/video processing problem
- analyze given image/video processing problems, identify and explain the challenges, propose possible solutions, and explain the chosen algorithm design.
To achive higher grades, participants should also be able to
- solve more advanced problems in all areas mentioned above.
Literature and preparations
Specific prerequisites
Recommended prerequisites
EQ1220 Signal Theory or equivalent
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- INL1 - Assignment, 1.5 credits, grading scale: P, F
- PRO1 - Course projects, 3.0 credits, grading scale: A, B, C, D, E, FX, F
- TENA - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Transitional regulations
TEN1 is replaced by both PRO1 and TENA.
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex.