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master's thesis
Procjena oštrine na slikama kamere
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:244799
Perović, Jure
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Perović, J. (2017). Procjena oštrine na slikama kamere (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:244799

Perović, Jure. "Procjena oštrine na slikama kamere." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:244799

Perović, Jure. "Procjena oštrine na slikama kamere." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:244799

Perović, J. (2017). 'Procjena oštrine na slikama kamere', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:244799

Perović J. Procjena oštrine na slikama kamere [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 August 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:244799

J. Perović, "Procjena oštrine na slikama kamere", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:244799

Metadata
TitleProcjena oštrine na slikama kamere
Title (english)Image Focus Estimation
AuthorJure Perović
MentorTomislav Pribanić (mentor)
Committee memberTomislav Pribanić (predsjednik povjerenstva)
Committee memberMario Cifrek (član povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je pojašnjen način kako se iskorištava proces zamućenja dijelova slike, koji nastaje kao posljedica odudaranja ravnine slike koju leća kamere stvara i ravnine senzora kamere, kako bi se izračunala prostorna dubina točaka slike. Iz skupa slika jedne scene snimljene s različitim fokusom moguće je izračunati površinski profil scene. Bitna značajka pojašnjene metode je u načinu određivanja oštrine u slici. Obrađen je način rada više operatora za određivanje oštrine, te je kroz implementaciju metode u MATLAB-u provedena analiza operatora na slikama s objektima različitih tekstura.
Abstract (english)
In this work, widely studied method of passive depth recovery called shape from focus is discussed. One of the main stages in shape from focus is the computation of the focus level for every pixel of an image by means of a focus measure operator. The working principle and performance of different operators is analyzed through the implementation of shape from focus in MATLAB. Operators are tested on pictures of objects with different textures.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:244799
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:51:13