Processing of Multimedia Signals
IMSD Acad. year 2010/2011 Winter semester 5 credits
Properties of digital signal-processing methods in comparison with analogue processing. Digital linear filtering, IIR and FIR filters - basic properties. Averaging methods of enhancing signals in noise. Complex signals and frequency translation of signals. Bases of correlation and spectral analysis of signals. Applications for system identification. Introduction to detection and restoration of distorted signals in noise. Generalisation of the above methods for processing of images as 2D signals, enhancement and segmentation of images. Principles of signal- and image-data compression and reconstruction. Typical uses of the methods in processing multimedia- and medical signals and measurement data. Applications in information networks and in archiving the data.
Language of instruction
Subject specific learning outcomes and competences
Basic knowledge and skills in digital signal and image processing with particular emphasis to procedures applied to multimedia data in internet applications.
The course should provide the student with the basic theoretical knowledge and practical experience from the area of digital signal and image processing, analysis, communication and archiving. The knowledge is necessary for multimedia data processing in information networks, for analysis and interpretation of the data and in communication applications.
Prerequisite kwnowledge and skills
Basic knowledge from computer signal and image processing.
- Jan, J.: Číslicová filtrace, analýza a restaurace signálů (Digital Signal Filtering, Analysis and Restoration � in Czech) TU Brno Publ., Brno 1997, ISBN 80-214-0816-2 (second edition expected 2001)
- Jan, J.: Digital Signal Filtering, Analysis and Restoration (English edition). IEE London, United Kingdom 2000, 407+14 pp., ISBN 0 85296 760 8
- Banks, S.: Signal Processing, Image Processing and Pattern Recognition. Prentice Hall Int. (UK) Ltd., 1990
- Hlaváč, V. , Šonka, M.: Počítačové vidění (Computer vision � in Czech). Grada 1992
- Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall Int. Edit., 1989
- Jan, J.: Číslicová filtrace, analýza a restaurace signálů (Digital Signal Filtering, Analysis and Restoration � in Czech) TU Brno Publ. , Brno 1997, ISBN 80-214-0816-2,
- Madisetti, V.K., Williams, D.B. (ed.): The Digital Signal Processing Handbook. CRC & IEEE Press (USA)1998, ISBN 0-8493-8572-5
- Mulgrew,B., Grant,P., Thompson, J.: Digital Signal Processing - Concepts & Applications. MacMillan Press Ltd. (UK) 1999, ISBN 0-333-74531-0
Syllabus of lectures
- Properties of digital signal-processing methods in comparison with analogue processing
- Digital linear filtering, purpose, properties, specification of demands
- IIR and FIR filters - basic properties, computer aided design and realisation
- Averaging methods of enhancing signals in noise
- Complex signals and frequency translation of signals
- Correlation analysis of signals, correlation detection. Applications for system identification
- Spectral analysis of deterministic and stochastic signals, applications
- Introduction to detection and restoration of distorted signals in noise
- Generalisation of the above methods for processing of images as 2D signals
- Basic methods of reconstruction, enhancement, edition and segmentation of images
- Principles of signal- and image-data compression
- Typical uses of the methods in processing multimedia and medical signals and measurement data
- Standard types of signal and image files. Typical approaches to multimedia use in information networks and for archiving
Syllabus of computer exercises
- Design, testing and application of a linear filter with given specifications. Generating and consequential averaging of a repetitive signal in noise
- Simulation of SSB frequency translation of a signal with the use of analytic signal
- Correlation analysis of mixtures of useful and disturbing signals, correlation reception
- Acquisition and frequency analysis of speech and musical signal. Compression standard MP3
- Acquisition of image data, archiving and presentation. Standards of image data. Geometric operations with images.
- Contrast and colour transforms in images. Sharpening and guided noise reduction
- Preparation of multimedia data for web page presentation
Active participation in the computer-lab tutorials and solving of given problems will be evaluated (maximum 30 points total).
Active participation in the computer-lab tutorials is checked, the minimum participation 4 out of 7 tutorials, cannot be substituted
Obtaining at least 15 points from the computer-labs.
Course inclusion in study plans