| TSBK01 | Image Coding and Data Compression, 6 ECTS credits. /Bildkodning och datakompression/ |
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Area of Education: Subject area: |
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| Advancement level
(A-D): D
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| Aim: The course treats modern image communication algorithms based on digital coding and transmission. It gives basic knowledge in the area of data compression (source coding) and gives methods for efficient digital representation of analog signals. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) Signal Theory, e.g. TSIT 64 or TSIT 65 Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The course consists of lectures, tutorials, and laborations. |
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| Course contents: Introduction: Applications of digital image coding - Overview of algorithms - Models for signals and images - Statistical models - Lossless coding - Entropy - The Source Coding Theorem - Huffman coding - Arithmetic coding - Universal Coding - Coding of analog signals - Rate Distortion bounds - Sampling - Memoryless quantization - PCM - Predictive coding - Motion estimation - Transform coding - JPEG - Hybrid coding; MPEG - Wavelets - Vector quantization - Fractals - (3D-)Model-based coding - Colour image representation - Coding complexity, implementation aspects. |
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| Course literature: Khalid Sayood, "Introduction to Data Compression", ISBN 1-55860-558-4 |
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| Examination: | |||
| Written examination Laboratory work Written examination |
3 p 1 p 0 p |
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Course language is Swedish/english. Department offering the course: ISY. Director of Studies: Examiner: Robert Forchheimer Course Syllabus in Swedish |
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