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STUDY PLANS

Picture Compression

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Code Completion Credits Range Language Instruction Semester
304MKOB Z 1 6/S Czech winter
Subject guarantor:
Jiří MYSLÍK
Name of lecturer(s):
Jiří MYSLÍK
Learning outcomes of the course unit:
Mode of study:
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Course contents:

Lecture content

An overview of the most important principles which are used for image data reduction wil be presented in the „Image and Video Compression“ module. In the first part the students are introduced to the necessary concepts and fundamental division of compression source codes. Further wil be demonstrated, based on no-loss compression techniques, the use of redundance in the image signal. In a part devoted to loss compression techniques, an overview of the characteristics of discreet cosine, wavelette transformation, fractal approach, vector quantization and other new approaches with a view to their use in modern image forms will be presented. A particular emphasis will be placed on a comparison of post-reduction artefacts arising from the aforementioned techniques.

Curriculum:

1) Image characteristics, the image as the bearer of information

2) Compression method characteristics

3) Non-loss compression methods

a) Prediction methods

b) lexicographic methods

c) Huffman and arithmetic coding

4) Loss compression methods

5) Discreet cosine transformation

6) Wavelette transformation

7) Fractal coding

8) Vector quantization

9) Methods based on the image model and probability methods

10) New trends in the field of image compression

11) Comparison of compression methods

Recommended or required reading:
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Course web page:
Note:
Further information:
This course is an elective for all students of this school
Schedule for winter semester 2012/2013:
Date Day Time Tutor Location Notes No. of paralel
02.11.2012 10:00–16:00 MYSLÍK J. Učebna 4
Lažanský palác
paralelka 1
Schedule for summer semester 2012/2013:
The schedule has not yet been prepared
The subject is a part of the following study plans:
Generated on 2013-06-03
Updates of the above given information can be found at http://sp.amu.cz/en/predmet304MKOB.html