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master's thesis
Usporedba metoda za promjenu razlučivosti slike
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:882473
Grzunov, Lovre
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Grzunov, L. (2019). Usporedba metoda za promjenu razlučivosti slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:882473

Grzunov, Lovre. "Usporedba metoda za promjenu razlučivosti slike." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:882473

Grzunov, Lovre. "Usporedba metoda za promjenu razlučivosti slike." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:882473

Grzunov, L. (2019). 'Usporedba metoda za promjenu razlučivosti slike', Master's thesis, University of Zagreb, Faculty of Science, accessed 24 June 2024, https://urn.nsk.hr/urn:nbn:hr:217:882473

Grzunov L. Usporedba metoda za promjenu razlučivosti slike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 June 24] Available at: https://urn.nsk.hr/urn:nbn:hr:217:882473

L. Grzunov, "Usporedba metoda za promjenu razlučivosti slike", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:882473

Metadata
TitleUsporedba metoda za promjenu razlučivosti slike
AuthorLovre Grzunov
MentorTina Bosner (mentor)
Committee memberTina Bosner (predsjednik povjerenstva)
Committee memberOzren Perše (član povjerenstva)
Committee memberIgor Ciganović (član povjerenstva)
Committee memberTomislav Berić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2019-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Cilj ovog rada je upoznati se s metodama za promjenu razlučivosti slike, kako bi ih mogli primijeniti na konkretnim primjerima i usporediti dobivene rezultate. Metode koje smo obradili su metoda najbližeg susjeda, linearne interpolacije, kubične konvolucijske interpolacije i kubične splajn interpolacije. Metode smo testirali na crno-bijelim slikama, standardnim za ovakvu vrstu primjene. Evaluacija dobivenih rezultata pojedinih metoda obavljena je Peak signal-to-noise radio formulom, na četiri različite slike. Očekivano, metoda kubične splajn interpolacije, u većini slučajeva je ponudila najbolja rješenja, dok je najjednostavnija metoda najbližeg susjeda na jednom od četiri primjera neočekivano pružila najbolji rezultat. Za svaku od metoda priložen je i programski realiziran algoritam, nastao korištenjem programskog jezika Python.
Abstract (english)
The main goal of this thesis is to analize methods for digital image processing, and use acquired knowledge for implementation on real examples which will be evaluated. Nearest neighbour, linear interpolation, cubic convolution interpolation and cubic spline interpolation are the methods analyzed in this thesis. All methods are implemented on grayscale images, standard for this kind of problem. Evaluation of methods is accomplished by Peak signal-to-noise radio formula, on four different images. Predictably, in most cases, cubic spline method provided highest PSNR score. Interestingly, tho most plane method, nearest neighbour, stepped up in one exapmle, and provided the best PSNR score. All algorithms are developed using Python.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:882473
Study programmeTitle: Mathematics and Computer Science Education; specializations in: Mathematics and Computer Science Education
Course: Mathematics and Computer Science Education
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije matematike i informatike (magistar/magistra edukacije matematike i informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-09-25 09:17:44