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master's thesis
Postupci rekolorizacije slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:591347
Čaušević, Adi
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Čaušević, A. (2021). Postupci rekolorizacije slika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:591347

Čaušević, Adi. "Postupci rekolorizacije slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:591347

Čaušević, Adi. "Postupci rekolorizacije slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:591347

Čaušević, A. (2021). 'Postupci rekolorizacije slika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:591347

Čaušević A. Postupci rekolorizacije slika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:591347

A. Čaušević, "Postupci rekolorizacije slika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:591347

Metadata
TitlePostupci rekolorizacije slika
Title (english)Image Colorization Methods
AuthorAdi Čaušević
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu opisana su tri pristupa kolorizaciji crno-bijelih slika. Za sve pristupe kolorizacija korištene su umjetne neuroneke mreže, te je za svaki od modela predstavljena je arhitektura, način rada, rezultati, te mane i moguća poboljšanja modela i/ili procesa treniranja. Prije opisa modela pokrivene su osnove dubokoga učenja potrebne za razumijevanje opisanih modela.
Abstract (english)
In this thesis, three different approaches to the colorization of grayscale photographs were described. Every approach used artificial neural networks as the colorizer. The architecture, learning process, results, and the flaws and possible improvements were presented for each of the models. Before the models were described, an overview of deep learning concepts and methods needed for the understanding of the used models was provided.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:591347
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
Access conditionsClosed access
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Created on2023-01-13 14:44:18