Audio and Image Compression, 6 credits (TSBK35)
Kompression av ljud och bild, 6 hp
Main field of study
Computer Science and Engineering Electrical Engineering Media Technology and EngineeringLevel
Second cycleCourse type
Programme courseExaminer
Harald NautschDirector of studies or equivalent
Klas NordbergAvailable for exchange students
YesCourse offered for | Semester | Period | Timetable module | Language | Campus | VOF | |
---|---|---|---|---|---|---|---|
6CMEN | Media Technology and Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 2 | Swedish/English | Norrköping | v |
6CKTS | Communication and Transportation Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 2 | Swedish/English | Norrköping | v |
6MDAV | Computer Science, Master's programme | 2 (Spring 2017) | 1 | 2 | Swedish/English | Norrköping | v |
6MICS | Computer Science, Master's programme | 2 (Spring 2017) | 1 | 2 | Swedish/English | Norrköping | v |
Main field of study
Computer Science and Engineering, Electrical Engineering, Media Technology and EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Media Technology and Engineering, M Sc in Engineering
- Communication and Transportation Engineering, M Sc in Engineering
- Computer Science, Master's programme
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Probability theory and basic signal processing.Intended learning outcomes
The course should give knowledge about methods used for data compression and how these methods are applied to audio and image 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).
Course content
Theory:
- Random signal models
- Lossless coding
- Entropy
- Huffman coding
- Arithmetic coding
- Lempel-Ziv coding
- Scalar quantization
- Vector quantization
- Linear predictive coding
- Transform coding
- Subband coding.
- Motion estimation and motion compensation.
- Still image coding: GIF, PNG, JPEG, JPEG-2000
- Video coding: MPEG-1/2/4
- Speech coding: CELP, GSM
- Audio coding: MPEG-1 audio layer I/II/III, Dolby Digital, AAC, Ogg Vorbis
Teaching and working methods
The course consists of lectures, lessons and computer lab work.
Examination
LAB1 | Laboratory Work | U, G | 1.5 credits |
TEN1 | Written examination | U, 3, 4, 5 | 4.5 credits |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Harald NautschCourse website and other links
http://www.icg.isy.liu.se/courses/tsbk35/Education components
Preliminär schemalagd tid: 46 hRekommenderad självstudietid: 114 h
Course literature
Kompletterande litteratur
Böcker
Khalid Sayood, Introduction to Data CompressionISBN: ISBN 978-0-12-415796-5
Additional literature
Books
ISBN: ISBN 978-0-12-415796-5
LAB1 | Laboratory Work | U, G | 1.5 credits |
TEN1 | Written examination | U, 3, 4, 5 | 4.5 credits |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
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