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.

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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
MATE5347 Image Compression 5 op
Organised by
Mathematics
Person in charge
Matematiikan ja tilastotieteen laitos, Jarkko Kari
Preceding studies
Recommended:
Course in Linear Algebra 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.

Teaching methods

Teaching method Contact Online
Lectures 28 h 0 h
Exercises 12 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

Evaluation

Numeric 0-5.

Study materials

Lecture notes.

Belongs to following study modules

Matematiikan ja tilastotieteen laitos
2016–2017
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Matematiikan ja tilastotieteen laitos
MDP in Information Security and Cryptography
Opintokokonaisuudet