TSBK38 · 6 credits · Advanced level (A1N) · Elektroteknik, Medieteknik
Image and Audio Compression
Active · next start VT 2027
80%
passed the latest ordinary exam
TEN1 · 29 May 2026 · 10 students
84%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 69 students
45%
Harder than 45% of courses at advanced level
Compared with 285 courses at the same level, ordinary exams over the last three academic years. 39 students.
Part of 8 programmes
- Master of Science in Computer Science and Engineering
- Master of Science in Information Technology
- Master of Science in Biomedical Engineering
- Master of Science in Media Technology and Engineering
- Master of Science in Applied Physics and Electrical Engineering - International
- Master of Science in Applied Physics and Electrical Engineering
- Master's Programme in Data Science and Information Engineering
- Master's Programme in Computer Science
Exam
TEN1 Written exam
- 5
- 4
- 3
- U
Ordinary exams
84% passed · 69 students
- 80%10
- 83%6
- 92%12
- 91%11
- 86%7
- 100%10
- 62%13
Re-exams
100% passed · 5 students
- 100%5
- Pass the re-exam: 100% (5 students), compared with 84% (69 students) on the ordinary exam
- Get 4 or 5: 35% (74 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%2
- 100%1
- 100%1
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 53 students
- 100%8
- 100%10
- 100%8
- 100%8
- 100%8
- 100%11
Later rounds
No sittings with at least 5 students.
Show small sittings (10)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%2
- 100%3
- 100%2
- 100%1
- 100%2
- 100%3
- 100%2
- 100%2
About the course
Aim
The course should give knowledge about methods used for data compression and how these methods are applied to audio, image and video signals. After taking the course, the student is expected to be able to
- Make random models for sources
- Analyze random source models
- Understand source coding methods such as huffman coding and arithmetic coding.
- Understand quantization
- Understand linear predictive coding
- Understand transform coding.
- Understand subband coding.
- Calculate coding performance for different coding methods, given random models for the sources
- Know how different coding methods are used for compression of still images, video and audio data.
- Know what methods are used in different compression standards (GIF, PNG, JPEG, MPEG, mp3, AAC, speech kodning).
- Examiner
- Harald Nautsch
- Scheduled hours
- 52 h
- Main field of study
- Elektroteknik, Medieteknik