Thesis Details

Evoluční aproximace obrazových filtrů

Master's Thesis Student: Foukal Tomáš Academic Year: 2018/2019 Supervisor: Sekanina Lukáš, prof. Ing., Ph.D.
English title
Evolutionary Approximation of Image Filters
Language
Czech
Abstract

This master's thesis introduces the areas of approximate computing, image filtering in hardware and evolutionary algorithms. It proposes a new design solution to the problem of the evolutionary approximation of median filters, where the objective is to reduce computational and implementation requirements and simultaneously minimize the error of filtering. Based on the gained knowledge and proposals, the necessary programs have been implemented. Experimental evaluation shows that the proposed method can provide good tradeoffs between the quality of filtering and the implementation cost for median filters.

Keywords

Artificial intelligence, evolutionary design, image processing, digital systems, approximate computing, median filter.

Department
Degree Programme
Information Technology, Field of Study Bioinformatics and Biocomputing
Files
Status
defended, grade B
Date
26 August 2019
Reviewer
Committee
Růžička Richard, doc. Ing., Ph.D., MBA (DCSY FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Pavlík Jan, Mgr., Ph.D. (DADM FME BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), člen
Citation
FOUKAL, Tomáš. Evoluční aproximace obrazových filtrů. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-08-26. Supervised by Sekanina Lukáš. Available from: https://www.fit.vut.cz/study/thesis/22128/
BibTeX
@mastersthesis{FITMT22128,
    author = "Tom\'{a}\v{s} Foukal",
    type = "Master's thesis",
    title = "Evolu\v{c}n\'{i} aproximace obrazov\'{y}ch filtr\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22128/"
}
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