Audio and Image Compression, 6 credits

Kompression av ljud och bild, 6 hp

TSBK35

Course starting semester

The course is disused. Offered for the last time Spring semester 2022. Replaced by TSBK38.

All instances mentioned below are cancelled.

Main field of study

Computer Science and Engineering Electrical Engineering Media Technology and Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Harald Nautsch

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 h

Available for exchange students

Yes

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV	N.B.
6CKTS	Communication and Transportation Engineering, M Sc in Engineering	8 (Spring 2017)	1	2	Swedish/English	Norrköping, Norrköping	E	CANCELLED
6MDAV	Computer Science, Master's programme	2 (Spring 2017)	1	2	Swedish/English	Norrköping, Norrköping	E	CANCELLED
6MICS	Computer Science, Master's programme	2 (Spring 2017)	1	2	Swedish/English	Norrköping, Norrköping	E	CANCELLED
6CMEN	Media Technology and Engineering, M Sc in Engineering	8 (Spring 2017)	1	2	Swedish/English	Norrköping, Norrköping	E	CANCELLED

Main field of study

Computer Science and Engineering, Electrical Engineering, Media Technology and Engineering

Course level

Second cycle

Advancement level

A1X

Course 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.

Practical methods

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	1.5 credits	U, G
TEN1	Written examination	4.5 credits	U, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Harald Nautsch

Course website and other links

http://www.icg.isy.liu.se/courses/tsbk35/

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 h

Course literature

Additional literature

Books

Khalid Sayood, Introduction to Data Compression
ISBN: ISBN 978-0-12-415796-5

Code	Name	Scope	Grading scale
LAB1	Laboratory Work	1.5 credits	U, G
TEN1	Written examination	4.5 credits	U, 3, 4, 5

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.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Additional literature

Books

Khalid Sayood, Introduction to Data Compression

ISBN: ISBN 978-0-12-415796-5

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		U	A	Modules
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)		X
	1.2 Fundamental engineering knowledge (G1X level)		X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)	X		LAB1 TEN1
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving	X		LAB1 TEN1
	2.2 Experimentation, investigation, and knowledge discovery	X		LAB1
	2.3 System thinking	X		LAB1
	2.4 Attitudes, thought, and learning	X		LAB1
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork		X	LAB1
	3.2 Communications		X	LAB1
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing	X		LAB1
	4.5 Implementing	X		LAB1
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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