Information System of Masaryk University 

Course Information

PA171 Digital Image Filtering

Faculty of Informatics
Spring 2012

Extent and Intensity

2/2. 4 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

RNDr. David Svoboda, Ph.D. (lecturer)

Supervisor

doc. Ing. Jiří Sochor, CSc.
Department of Computer Graphics and Design - Faculty of Informatics
Contact Person: RNDr. David Svoboda, Ph.D.
Dodavatelské pracoviště: Department of Computer Graphics and Design - Faculty of Informatics

Timetable

Mon 10:00–11:50 B204, Mon 12:00–13:50 B311

Prerequisites

PV131 Digital Image Processing
Knowledge of written English and calculus is required.

Course Enrollment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

Fields of study the course is directly associated with

there are 19 fields of study the course is directly associated with, display

Course objectives

The aim of this lecture is to introduce all the basic image transforms used in digital image processing. It covers the operations changing the image content or transforming the original data into different representation. At the end of this course, students should be able to: understand the basic principles of the image transforms; know the selected transforms; implement the selected transforms; apply the selected transforms.

Syllabus

• Thresholding (various methods of histogram analysis)
• Linear and nonlinear filtering
• Edge detection (Canny, Deriche, etc.)
• Discrete transforms (Fourier, FFT, Hough, Hadamard, Discrete Cosine, Wavelets, Radon, etc.)
• Recursive filtering
• Deconvolution
• Image compression, loss/lossless compression, colour indexing, entropy, JPEG, MPEG, the use in image formats
• Texture filtering

Literature

• GONZALEZ, Rafael C. and Richard E. WOODS. Digital image processing [2nd ed.]. 2nd ed. Upper Saddle River: Prentice Hall, 2002. xx, 793 s. ISBN 0-201-18075-8. info
• BRACEWELL, Ronald Newbold. The Fourier transform and its applications. 3rd ed. Boston: McGraw Hill, 2000. xx, 616 p. ISBN 0-07-303938-1. info
• PRATT, William K. Digital image processing. 3rd ed. New York: John Wiley & Sons, 2001. xix, 735 s. ISBN 0-471-37407-5. info

Teaching methods

obtaining knowledge during lectures, obtaining skills by working with PC

Assessment methods

Lectures in Czech (optionally in English), study materials in English. Exercises in computer labs. Final exam in written and oral form.

Language in which the course is taught

English

Further Comments

Study Materials
The course is taught annually.

Teacher's information

http://cbia.fi.muni.cz/teaching-activities.html

The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2013, Spring 2014.

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• Enrollment Statistics (Spring 2012, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2012/PA171

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