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BE2M37KASA	Compression of Images and Signals
Role:	P, PV	Rozsah výuky:	2P+2C
Katedra:	13137	Jazyk výuky:	EN
Garanti:	Vítek S.	Zakončení:	Z,ZK
Přednášející:	Fliegel K., Rund F., Vencovský V., Vítek S.	Kreditů:	6
Cvičící:	Fliegel K., Rund F., Vencovský V., Vítek S.	Semestr:	L

Anotace:

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.

Cíle studia:

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

Osnovy přednášek:

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.

Osnovy cvičení:

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.

Literatura:

[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

Požadavky:

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

Poznámka:

2p+2c+1d

Předmět je zahrnut do těchto studijních plánů:

Plán	Obor	Role	Dop. semestr
MEEK5_2018	Communication Systems and Networks	PV	2
MEEK2_2018	Audiovisual Technology and Signal Processing	P	2

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Stránka vytvořena 17.4.2024 17:51:55, semestry: L/2023-4, Z/2024-5, Z/2023-4, připomínky k informační náplni zasílejte správci studijních plánů

Návrh a realizace: I. Halaška (K336), J. Novák (K336)