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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Compression of images and signals

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Code Completion Credits Range Language
B2M37KAS Z,ZK 5 2p+2c Czech
Corequisite:
Safety in Electrical Engineering for a master´s degree (BEZM)
Lecturer:
Karel Fliegel, Stanislav Vítek (guarantor), František Rund
Tutor:
Karel Fliegel, Stanislav Vítek (guarantor), František Rund, Václav Vencovský
Supervisor:
Department of Radioelectronics
Synopsis:

The subject deals with compression methods and techniques. Main goal is to introduce basic concepts of lossless and lossy compresion of audiovisual information (entropy, redundancy and irrelevancy). Within the laboratory exercises students will work with implementations of particular algorithms, including objective and subjective methods of quality evaluation.

Requirements:

Basic methods and techniques of acquiring, transmission, processing and reproduction of audiovisual signals.

Syllabus of lectures:

1. Introduction, theory of information, entropy. Shannon-Fann coding, Huffman coding.

2. Adaptive Huffman coding, Lempel-Ziv-Welch algorithm.

3. QM coder, PPM data compression scheme.

4. Scalar quantization, optimized scalar quantization, vector quantization.

5. Human hearing, data reduction - masking, binaural hearing. Evaluation of audio quality.

6. Lossless and lossy audio compression. Filter banks, psychoacoustic model, quantization, coding, joint stereo.

7. Audio coding standards (ATRAC, Ogg Vorbis, MPEG1, MPEG2, MPEG4, MPEG7, AC3, ...).

8. Human visual system, data reduction. Evaluation of visual information quality.

9. Compression of still images, JPEG, JPEG-2000.

10. Video compression techniques: motion vector, pre & postprocessing.

11. Video coding standards, MPEG1, MPEG2, H.264/AVC, H.265/HEVC.

12. Streaming in communication networks.

13. Mobile multimedia computing. Digital content protection, watermarking.

14. New directions in audiovisual information conding, multiview coding.

Syllabus of tutorials:

1. Introduction, signal and image processing in Matlab.

2. Analysis of the characteristics of signals, the arithmetic coder.

3. Huffman coding.

4. VQ encoder. Projects assignment.

5. Implementation of simple lossy audio encoder in Matlab.

6. Subjective and objective evaluation of the quality of the compressed audio signal.

7. Compression of still pictures according to standard JPEG and JPEG-2000.

8. Principles lossy video compression, motion vector, MPEG standards.

9. subjective and objective evaluation of the quality of the compressed video signal.

10. Watermarking.

11. Work on semester project.

12. Work on semester project.

13. Presentation of semester projects.

14. Test, assessment.

Study Objective:

Main goal is to introduce basic concepts of lossless and lossy compresion of audiovisual information (entropy, redundancy and irrelevancy).

Study materials:

[1] Proakis J.: Digital signal processing, Harlow, 2014, ISBN: 978-1-29202-573-5

[2] Thyagarajan, K. S.: Still Image and Video Compression with MATLAB, Willey, 2011, ISBN: 978-0-470-88692-2

[3] Sayood K.: Lossless Compression Handbook, Elsevier, 2003, ISBN: 978-0-12-620861-0

[4] Kahrs, M., Brandenburg, K.: Applications of Digital Signal Processing to Audio and Acoustics. Kluwer Academic Publishers, 1998, ISBN: 978-0792381303

Note:
Time-table for winter semester 2018/2019:
Time-table is not available yet
Time-table for summer semester 2018/2019:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomT2:C3-438
Vítek S.
Fliegel K.

09:15–10:45
(lecture parallel1)
Dejvice
Laborator
roomT2:C3-438
Vítek S.
Fliegel K.

11:00–12:30
(lecture parallel1
parallel nr.11)

Dejvice
Laborator
Tue
Fri
Thu
Fri
The course is a part of the following study plans:
Data valid to 2019-05-23
For updated information see http://bilakniha.cvut.cz/en/predmet4637506.html