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undergraduate thesis
Poboljšanje slike u prostornoj i frekvencijskoj domeni
2021. urn:nbn:hr:179:866072
Salečić, Ivan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Salečić, I. (2021). Poboljšanje slike u prostornoj i frekvencijskoj domeni (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:866072

Salečić, Ivan. "Poboljšanje slike u prostornoj i frekvencijskoj domeni." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:866072

Salečić, Ivan. "Poboljšanje slike u prostornoj i frekvencijskoj domeni." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:866072

Salečić, I. (2021). 'Poboljšanje slike u prostornoj i frekvencijskoj domeni', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:866072

Salečić I. Poboljšanje slike u prostornoj i frekvencijskoj domeni [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:179:866072

I. Salečić, "Poboljšanje slike u prostornoj i frekvencijskoj domeni", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:866072

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Metadata
TitlePoboljšanje slike u prostornoj i frekvencijskoj domeni
Title (english)Image enhancement in spatial and frequency domain
AuthorIvan Salečić
MentorMaja Stella (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U završnom radu opisane su temeljne operacije koje su u upotrebi pri digitalnoj obradi slika, kao i problemi koji se javljaju tijekom danog postupka. Nadalje, opisano je filtriranje slika u prostornoj domeni, uz naglasak na filtre zaglađivanja i izoštravanja te filtriranje u frekvencijskoj domeni, s naglaskom na matematičke teoreme i zakonitosti. Za poboljšanje kvalitete slika uzeto je programsko okruženje MATLAB u vidu četiriju osnovnih metoda: izjednačavanja histograma, Medijan filtra, Wiener filtra te dekorelacijskog rastezanja. Njima su tretirane jedna crno-bijela slika te tri slike u boji te je provedena analiza rezultata. Medijan filtar i Wienerov filtar su jako učinkoviti i i kod crno-bijelih i kod slika u boji, metoda dekorelacijskog rastezanja je za crno-bijele slike neupotrebljiva, dok metoda izjednačavanja histograma daje puno bolje rezultate kad se koristi za crno-bijele slike u odnosu na slike u boji.
Abstract (english)
The thesis describes the basic operations that are used in digital image processing, as well as problems that occur during a given procedure. Furthermore, image filtering in the spatial domain is described, with an emphasis on smoothing and sharpening filters, and filtering in the frequency domain, with an emphasis on mathematical theorems and regularities. To improve the image quality, the MATLAB software environment was used in the form of four basic methods: histogram equalization, Median filter, Wiener filter and decorrelation stretching. Using them, one black and white image and three color images were treated and results were analyzed. The Median filter and Wiener filter are very effective for both black and white and color images, the decorrelation stretching method is not applicable for black and white images, while the histogram equalization method gives much better results when used for black and white images compared to color images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:866072
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-12-09 12:08:22