Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

x !
Archived Curricula Guide 2014–2016
Curricula Guide is archieved. Please refer to current Curricula Guides
MATE5258 Image and Video Compression 10 ECTS
Organised by
Mathematics
Person in charge
Department of Mathematics and Statistics, Jarkko Kari
Preceding studies
Recommended:

Learning outcomes

To learn basic information theory and rate-distortion theory. To be able to calculate entropies and rate-distortion functions. To learn lossless and lossy compression techniques and algorithms, and to understand their limitations and suitability in various data compressions setups.

Contents

The course introduces the mathematical backround of image compression. Different approaches to image compression are discussed and various algorithms are presented and analysed. Topics include entropy and information, symbol coding, lossless image compression, lossy compression and rate-distortion theory, scalar and vector quantization, image transformations including discrete cosine transform and wavelet transforms.

Teaching methods

Teaching method Contact Online
Lectures 56 h 0 h
Exercises 26 h 0 h

Not lectured 2014-2016

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Written exam
  • In English

or weekly exercises and midterm exams

Evaluation

Numeric 0-5.

Study materials

K.Sayood: Introduction to data compression, 1996; R.J.Clarke: Digital compression of still images and video, 1995; M.Rabbani: Digital image compression techniques, 1991; W.B.Pennebaker: JPEG still image compression standard, 1993; I.H.Witten: Managing Gigabytes, compressing and indexing documents and images, 1999; G.Strang and T.Nguyen: Wavelets and filter banks, 1997.

Belongs to following study modules

Institute of Biomedicine
Department of Mathematics and Statistics
Institute of Biomedicine
2014–2015
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Mathematics and Statistics
DP in Mathematics and Statistics
DP in Mathematics
Finnish Study Modules
DP in Statistics
Statistics