Faculty of Information Technology, BUT

Course details

Image Processing

ZPO Acad. year 2011/2012 Summer semester 5 credits

Current academic year

Introduction to image processing, image acquiring, point and discrete image transforms, linear image filtering, image distortions, types of noise, optimal image filtering, non-linear image filtering, watermarks, edge detection, segmentation, motion analysis, loseless and lossy image compression

Guarantor

Language of instruction

Czech

Completion

Examination (written)

Time span

26 hrs lectures, 26 hrs projects

Assessment points

51 exam, 10 half-term test, 39 projects

Department

Lecturer

Instructor

Beran Vítězslav, Ing., Ph.D. (DCGM FIT BUT)
Mlích Jozef, Ing. (DCGM FIT BUT)

Subject specific learning outcomes and competences

The students will get acquainted with the image processing basics theory (transformations, filtration, noise reduction, etc.). They will learn how to apply such knowledge on real examples of image processing tasks. They will also get acquainted with "higher" imaging algorithms. Finally, the will learn kow to practically program image processing applications through projects.

Generic learning outcomes and competences

Students will improve their teamwork skills and in exploitation of "C" language.

Learning objectives

To get acquainted with the image processing basics theory (transformations, filtration, noise reduction, etc.). To learn how to apply such knowledge on real examples of image processing tasks. To get acquainted with "higher" imaging algorithms. To learn kow to practically program image processing applications through projects.

Prerequisites

Prerequisite kwnowledge and skills

The C programming language and fundamentals of computer graphics.

Study literature

  • Russ, J.C.: The Image Processing Handbook, CRC Press 1995, ISBM 0-8493-2516-1

Fundamental 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

Syllabus of lectures

  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

Syllabus - others, projects and individual work of students

  1. Individually assigned project for the whole duration of the course.

Progress assessment

Mid-term test, individual project.

Course inclusion in study plans

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