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Welcome page > FAMU > Department of Cinematography > Picture Compression

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:

Acquaintance image data compression method principles.

Mode of study:

Lecture

Prerequisites and co-requisites:

None

Recommended optional programme components:

None

Course contents:

Lecture: Doc. Mgr. Petr Páta, PhD; ČVUT, Electrotechnical Faculty, Dept. of Radioelectronics

Sponsor for FAMU: prof. Mgr. Jiří Myslík

Time and place: 28.11. 2014 from 10:00 to 16; Classroom. 4, 2nd floor, Lažansky Palace

Grading: 1credit - 100% attendance, written summary of lectures (approx. 2 standard pages)

Spaces: 20

Elective for: FAMU

Language of instruction: Czech

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:

None

Planned learning activities and teaching methods:

Module instruction

Assessment methods and criteria:

100% attendance, written summary of lectures (appprox 2 standard pages).

Course web page:
Note:

None

Schedule for winter semester 2014/2015:
Date Day Time Tutor Location Notes No. of paralel
28.11.2014 10:00–16:00 MYSLÍK J. Učebna 4
Lažanský palác 		přednášková par. 1
Schedule for summer semester 2014/2015:
The schedule has not yet been prepared
The subject is a part of the following study plans:
Generated on 2015-06-16