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undergraduate thesis
Kolorizacija slika korištenjem dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:662038
Ivčević, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ivčević, L. (2024). Kolorizacija slika korištenjem dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:662038

Ivčević, Luka. "Kolorizacija slika korištenjem dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:662038

Ivčević, Luka. "Kolorizacija slika korištenjem dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:662038

Ivčević, L. (2024). 'Kolorizacija slika korištenjem dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:662038

Ivčević L. Kolorizacija slika korištenjem dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:662038

L. Ivčević, "Kolorizacija slika korištenjem dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:662038

Metadata
TitleKolorizacija slika korištenjem dubokog učenja
Title (english)Image colorization using deep learning
AuthorLuka Ivčević
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberZorana Doždor (član povjerenstva)
Committee memberIva Sović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad se bavi problemom automatske kolorizacije sivih slika. Kao i mnogi ostali problemi računalnog vida, problem je rješen upotrebom dubokog učenja. Dan je pregled drugih radova koji se bave istom tematikom i koji problem rješavaju na sličan. Opisuju se prostori boja i na koji način format ulaznih slika utječe na proces učenja modela. Mreža je konvolucijska duboka neuronska mreža i slične je arhitekture kao mreže u literaturi. Konačno, pregledaju se rezultati i mreža se koristi za kolorizaciju sivih slika iz povijesti za koje ne poznaje stvarni izgled.
Abstract (english)
This paper deals with the problem of automatically colorizing grayscale images. As many other problems in the field of computer vision, the solution is based on deep learning methods. Other papers which present similar solutions to the same problem are referenced. Color spaces and the influence of image format on the learning proces are explored. The implemented network is a convolutional nerual network with a similar architecture to those referenced in the paper. Finally, an overview of the results is given and the network is used to colorize historical images that have no known ground truth.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:662038
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 20:52:33