PA171 Integral and Discrete Transforms in Image Processing

Fakulta informatiky
podzim 2023
Rozsah
2/2. 3 kr. (plus ukončení). Ukončení: zk.
Vyučováno prezenčně.
Vyučující
doc. RNDr. David Svoboda, Ph.D. (přednášející)
Garance
doc. RNDr. David Svoboda, Ph.D.
Katedra vizuální informatiky – Fakulta informatiky
Kontaktní osoba: doc. RNDr. David Svoboda, Ph.D.
Dodavatelské pracoviště: Katedra vizuální informatiky – Fakulta informatiky
Rozvrh
St 10:00–11:50 B411
  • Rozvrh seminárních/paralelních skupin:
PA171/01: Pá 8:00–9:50 B311, D. Svoboda
Předpoklady
PV131 Digitální zpracování obrazu
Knowledge of written English and calculus is required.
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
předmět má 50 mateřských oborů, zobrazit
Cíle předmětu
The aim of this lecture is to introduce all the basic image transforms used in digital image processing. It covers the operations of changing the image content or transforming the original data into a 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 and apply the selected transforms;
- understand standard image compression algorithms;
- correctly resample images;
- use suitable image restoration algorithms.
Výstupy z učení
After completing the course, the student should be able to:
- analyze the image data in a frequency domain;
- discuss the problems in the field of frequency analysis;
- propose her/his own efficient and optimized compression methods;
- demonstrate the general principles of compression algorithms;
- use wavelet and Fourier transform appropriately;
- solve the tasks focused on image restoration;
- appropriately use the resampling algorithms and understand their results
Osnova
  • Discrete transforms (Fourier transform, Hadamard, PCA, DCT, Wavelets)
  • Optimized discrete transforms (FFT, F-DCT, FWT, Lifting scheme)
  • Image compression, Lossy/Lossless compression
  • Compression standards (JPEG, JPEG2000, H.265)
  • Sampling, Resampling, Signal reconstruction, Texture filtering
  • Z-transform, Recursive filtering
  • Image restoration
  • Steerable filters
Literatura
    doporučená literatura
  • GONZALEZ, Rafael C. a 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 N. The Fourier transform and its applications. 3rd ed. Boston: McGraw Hill, 2000. xx, 616. ISBN 0073039381. URL info
Výukové metody
obtaining knowledge during lectures, obtaining skills by working with PC
Metody hodnocení
During the semester, the students are required to solve the selected team project. The final defense of this project takes place during the last week of the semester. The students must successfully pass this defense in order to be allowed to take the final exam. The final exam consists of written and oral form. The written part contains questions that verify the students' skills and experience in the given field of image processing. The oral part follows the written part. Here, the students have a chance to explain or finalize those solutions from the written part that are incomplete.
Vyučovací jazyk
Angličtina
Informace učitele
https://cbia.fi.muni.cz/education/
Další komentáře
Studijní materiály
Předmět je vyučován naposledy.
Předmět je zařazen také v obdobích jaro 2007, jaro 2008, jaro 2009, jaro 2010, jaro 2011, jaro 2012, jaro 2013, jaro 2014, jaro 2015, jaro 2016, jaro 2017, jaro 2018, podzim 2019, podzim 2021, podzim 2022.
  • Statistika zápisu (nejnovější)
  • Permalink: https://is.muni.cz/predmet/fi/podzim2023/PA171