Course detail

Processing of Multimedia Signals

FIT-IMSDAcad. year: 2010/2011

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

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Jiří Jan, CSc.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

Basic knowledge and skills in digital signal and image processing with particular emphasis to procedures applied to multimedia data in internet applications.

Prerequisites

Basic knowledge from computer signal and image processing.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Obtaining at least 15 points from the computer-labs.

Course curriculum

  • 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

Work placements

Not applicable.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

Active participation in the computer-lab tutorials is checked, the minimum participation 4 out of 7 tutorials, cannot be substituted

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

  • V.K. Madisetti, D.B. Williams: The Digital Signal Processing Handbook (chapts: Digital Audio Communications, Speech Processing, Image and Video Processing), CRC Press & IEEE Press, 1998
  • R.J. Schalkoff: Digital Image Processing and Computer Vision, J.Willey & Sons 1989
  • A.N. Netravalli, B.G. Haskell: Digital Pictures Representation, Compression and Standards. Plenum Press, 1995
  • S.J. Sangwine, R.E.N. Horne: The Colour Image Processing Handbook. Chapman & Hall, 1998
  • V. Bhaskaran, K.Konstantinides: Image and Video Compression Standards (2nd ed.), Kluwer Acad. Publishers, 1997
  • B. Furth, J. Greenberg, R. Westwater: Motion Estimation Algorithms for Video Compression. Kluwer Acad. Publishers, 1997
  • Jan, J.: Číslicová filtrace, analýza a restaurace signálu (druhé rozšířené vydání), VUTIUM Brno 2002
  • A.K. Jain: Fundamentals of Digital Image Processing. Prentice Hall 1989
  • M. Šonka, V. Hlaváč, R.D. Boyl: Image Processing, Analysis and Machine Vision, 2nd ed. PWS Boston 1998
  • A.C. Luther: Principles of Digital Audio and Video. Artech House Boston 1997
  • Levický, D.: Multimediálne telekomunikácie. Elfa Košice, 2002
  • Jan, J.: Medical Image Processing, Reconstruction and Restoration. CRC Publ., 2005

Classification of course in study plans

  • Programme IT-BC-3 Bachelor's

    branch BIT , any year of study, winter semester, elective

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Ing. Jiří Jan, CSc.

Syllabus

  • 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

Exercise in computer lab

26 hours, optionally

Teacher / Lecturer

prof. Ing. Jiří Jan, CSc.

Syllabus

  • 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