Course detail

Image Processing

FIT-ZPOAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Dr. Ing. Pavel Zemčík, dr. h. c.

Department

Department of Computer Graphics and Multimedia (UPGM)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Basic literature

  • Hlaváč, V., Šonka, M.: Počítačové vidění, GRADA 1992, ISBN 80-85424-67-3
  • Jahne, B.: Handbook of Computer Vision and Applications, Academic Press, 1999, ISBN 0-12-379770-5
  • Russ, J.C.: The Image Processing Handbook, CRC Press 1995, ISBM 0-8493-2516-1

Recommended reading

  • Hlaváč, V., Šonka, M.: Počítačové vidění, GRADA, 1992, ISBN 80-85424-67-3

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, summer semester, elective
    branch MSK , any year of study, summer semester, elective
    branch MPS , any year of study, summer semester, elective
    branch MIS , any year of study, summer semester, elective
    branch MBS , any year of study, summer semester, elective
    branch MIN , any year of study, summer semester, elective
    branch MMM , any year of study, summer semester, elective
    branch MGM , 1. year of study, summer semester, compulsory
    branch MMI , 1. year of study, summer semester, compulsory
    branch MPV , 2. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

prof. Dr. Ing. Pavel Zemčík, dr. h. c.

Syllabus

  1. Introduction to image processing
  2. Image data acquiring
  3. Point image transforms
  4. Discrete image transforms
  5. Linear image filtering
  6. Image distortion, types of noise
  7. Optimal filtering
  8. Nonlinear image filtering
  9. Watermarks
  10. Edge detection, segmentation
  11. Movement analysis
  12. Image compression, lossy, looseless
  13. Future of image processing

Project

26 hours, optionally

Teacher / Lecturer

prof. Dr. Ing. Pavel Zemčík, dr. h. c.