PA229 Digital Image Processing

Fakulta informatiky
podzim 2024
Rozsah
2/2/0. 3 kr. (plus ukončení). Ukončení: zk.
Vyučující
prof. RNDr. Michal Kozubek, Ph.D. (přednášející)
Garance
prof. RNDr. Michal Kozubek, Ph.D.
Katedra vizuální informatiky – Fakulta informatiky
Dodavatelské pracoviště: Katedra vizuální informatiky – Fakulta informatiky
Předpoklady
PV291 Introduction to DSP
Required knowledge: English, foundations of mathematics, linear algebra, calculus and basics of signal and image processing at the level of PB130 + PV291 courses.
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
předmět má 31 mateřských oborů, zobrazit
Cíle předmětu
This course aims to broaden the knowledge of the basics of digital signal and image processing gained in the PB130 + PV291 courses. The students will gain an overview of the available techniques and possibilities in this field. They will learn image transforms, detection/segmentation algorithms and approaches to image/object classification. They will be able to perform the basic techniques and apply them in practice. The lecture serves as the base for all those who want to attend to the topic in more detail.
Výstupy z učení
The student will be able to:
- formulate basic principles of digital image processing;
- describe mutual relations between the image analysis in spatial and frequency domains;
- realize basic workflows using a computer;
- suggest and apply suitable workflows for a given problem of image analysis;
Osnova
  • Acquisition of 2D and 3D image data
  • Continuous convolution, PSF, OTF.
  • Fourier Transform in 2D and 3D, filtering in frequency domain
  • Relation of filters in spatial and frequency domains
  • Nonlinear image filtering
  • Steerable filters
  • Multi-scale analysis, Discrete Wavelet Transform in 2D
  • Hough and Radon Transforms
  • Image compression standards (JPEG, JPEG2000, H.265)
  • Image restoration
  • Image segmentation
  • Classification of images and objects
  • Advanced methods of digital image processing
Literatura
    doporučená literatura
  • GONZALEZ, Rafael C. a Richard E. WOODS. Digital image processing. Fourth edition. New York, NY: Pearson, 2018, 1019 stran. ISBN 9781292223049. info
  • PRATT, William K. Digital image processing : PIKS scientific inside. 4th ed. Hoboken, N.J.: Wiley-interscience, 2007, xix, 782. ISBN 9780471767770. info
  • ŠONKA, Milan, Václav HLAVÁČ a Roger BOYLE. Image processing, analysis, and machine vision. 3rd ed. Toronto: Thomson, 2008, xxv, 829. ISBN 9780495082521. info
Výukové metody
Lectures followed by class exercises in a computer room to gain hands-on experience.
Metody hodnocení
Lectures and study materials in English. Mandatory practicals (labs) on computers with compulsory homework. Written final exam, no materials allowed.
Vyučovací jazyk
Angličtina
Navazující předměty
Informace učitele
https://cbia.fi.muni.cz/education/
The course will start in Autumn 2024.
  • Permalink: https://is.muni.cz/predmet/fi/podzim2024/PA229