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Image and Audio Compression, 6 credits
Bild- och ljudkompression, 6 hp
TSBK38
Main field of study
Electrical Engineering Media Technology and EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Harald NautschDirector of studies or equivalent
Lasse AlfredssonEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 108 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Electrical Engineering, Media Technology and EngineeringCourse level
Second cycleAdvancement level
A1XSpecific information
The course can not be included in degree together with TSBK02, TSBK35.
Course offered for
- Master of Science in Media Technology and Engineering
- Master's Programme in Computer Science
- Master of Science in Computer Science and Engineering
- Master of Science in Industrial Engineering and Management - International
- Master of Science in Industrial Engineering and Management
- Master of Science in Information Technology
- Master of Science in Biomedical Engineering
- Master of Science in Applied Physics and Electrical Engineering
- Master of Science in Applied Physics and Electrical Engineering - International
Prerequisites
Probability theory, basic signal processing, basic transform theory.
Intended learning outcomes
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).
Teaching and working methods
The course consists of lectures, lessons and computer lab work. All lectures are available as prerecorded videos.
Examination
| TEN1 | Written exam | 4 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 2 credits | U, G |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
The course is given in VT1 in Norrköping and in VT2 in Linköping, with 4 written exams per year.
About teaching and examination language
The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows:
- If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
- If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
- If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.
Other
The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed.
The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.
The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included.
If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.
Department
Institutionen för systemteknikCourse literature
Books
- Khalid Sayood, Introduction to Data Compression Morgan Kaufmann
ISBN: 9780128094747
Available as an e-book through the university library
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| TEN1 | Written exam | 4 credits | U, 3, 4, 5 |
| LAB1 | Laboratory work | 2 credits | U, G |
Books
Khalid Sayood, Introduction to Data Compression Morgan Kaufmann
ISBN: 9780128094747
Available as an e-book through the university library
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
|
|
X
|
TEN1
|
Probability theory, calculus, linear algebra |
|
| 1.2 Fundamental engineering knowledge (G1X level) |
|
|
X
|
TEN1
|
Signal processing, transform theory |
|
| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
|
|
|
|||
| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
|
X
|
|
TEN1
LAB1
|
Compression methods for audio, still images and video. |
|
| 1.5 Insight into current research and development work |
X
|
|
|
TEN1
|
Present the most recent standard coding methods. |
|
| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
|
X
|
|
TEN1
LAB1
|
Modelling and analysis of signal sources, problem solutions. |
|
| 2.2 Experimentation, investigation, and knowledge discovery |
|
X
|
|
LAB1
|
Avvägningar i val av lösningar |
|
| 2.3 System thinking |
|
X
|
|
LAB1
|
Creative thinking |
|
| 2.4 Attitudes, thought, and learning |
|
|
|
|||
| 2.5 Ethics, equity, and other responsibilities |
|
|
|
|||
| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
|
|
X
|
LAB1
|
Laborations in small groups. |
|
| 3.2 Communications |
|
|
X
|
LAB1
|
Written reports for some of the labs. |
|
| 3.3 Communication in foreign languages |
|
|
X
|
TEN1
LAB1
|
Course language english. |
|
| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
|
|
|
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| 4.2 Enterprise and business context |
|
|
|
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| 4.3 Conceiving, system engineering and management |
|
|
|
|||
| 4.4 Designing |
|
X
|
|
LAB1
|
Developing coding methods for audio and image signals. |
|
| 4.5 Implementing |
|
X
|
|
LAB1
|
Implementing coding methods for audio and image signals. |
|
| 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 |
|
|
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| 5.2 Economic conditions for knowledge development |
|
|
|
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| 5.3 Identification of needs, structuring and planning of research or development projects |
|
|
|
|||
| 5.4 Execution of research or development projects |
|
|
X
|
LAB1
|
Small project labs. |
|
| 5.5 Presentation and evaluation of research or development projects |
|
|
X
|
LAB1
|
Small project labs. |
|
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