Course detail

Multimedia Data in Biomedicine

FEKT-CMSDAcad. year: 2017/2018

Elements of acoustic and visual perception. Image and acoustic data, objective and subjective quality. Properties of biomedical image data. Special methods of multimedia signal processing: image, audio- and video data, particularly processing, enhancement and analysis of image data. Methods and standards of lossless and lossy compression of image, audio and video data.

Learning outcomes of the course unit

The graduate of the course:
- has the basic knowledge on multimedia data characteristics, their perception, processing and analysis,
- Has the knowledge on transmission and archiving in information systems and with respect to Internet applications,
- is capable of evaluating of suitability of individual methods for the specific applications,
- is capable of to utilize the methods based on the available software.

Prerequisites

Knowledge of elements of digital signal processing

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

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.: Medical Image Processing, Reconstruction and Restoration. CRC Publ., 2005
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
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
Jan, J.: Digital signal filtering, analysis and restoration. IEE London 2000

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Techning methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system.

Assesment methods and criteria linked to learning outcomes

Requirements for completion of a course are elaborated by the lecturer responsible for the course every year;
basically:
- obtaining at least 12 points (out of 24 as course-unit credit based on active presence in demonstration exercises),
- successful passing of final written exam (up to 76 points)

Language of instruction

English

Work placements

Not applicable.

Course curriculum

1. Multimedia signals and data, definitions and properties
2. Theory of multidimensional signals and systems - original domain and frequency domain
3. Multidimensional unitary transforms and their properties
4. Models of psychophysiology of human sight and hearing
5. Properties of biomedical image data (X-ray, CT, MRI, SPECT, PET)
6. Enhancement of images - contrast and colour transforms, geometrical transforms
7. Enhancement of images - sharpening and noise reduction. Principles of image restoration
8. Basics of image analysis - segmentation, texture analysis, time-development and motion analysis
10. Particularities of acoustic signal processing
11. Principles of multimedial data compression
12. Image and video data compression, properties and parameters
13. Acoustic data compression, properties and parameters

Aims

Gaining basic knowledge on multimedia signals and data, their relation to perception, corresponding technical characteristics, methods of processing, analysis and preparation for archiving or communication via data networks

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

Demonstration tutorial. Obligatory attendance, only 20% absence may be justified by an official medical certificate.
Attendance at the lectures is only recommended.

Classification of course in study plans

  • Programme EEKR-BC Bachelor's

    branch BC-EST , 3. year of study, winter semester, 5 credits, optional specialized
    branch BC-MET , 3. year of study, winter semester, 5 credits, optional interdisciplinary

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer

eLearning