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master's thesis
Super rezolucija slika tehnikama dubokih neuronskih mreža
Zagreb: University of Zagreb, Faculty of Science, 2018. urn:nbn:hr:217:618444
Mavračić, Tin
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Mavračić, T. (2018). Super rezolucija slika tehnikama dubokih neuronskih mreža (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:618444

Mavračić, Tin. "Super rezolucija slika tehnikama dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:618444

Mavračić, Tin. "Super rezolucija slika tehnikama dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:618444

Mavračić, T. (2018). 'Super rezolucija slika tehnikama dubokih neuronskih mreža', Master's thesis, University of Zagreb, Faculty of Science, accessed 10 July 2024, https://urn.nsk.hr/urn:nbn:hr:217:618444

Mavračić T. Super rezolucija slika tehnikama dubokih neuronskih mreža [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2018 [cited 2024 July 10] Available at: https://urn.nsk.hr/urn:nbn:hr:217:618444

T. Mavračić, "Super rezolucija slika tehnikama dubokih neuronskih mreža", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:217:618444

Metadata
TitleSuper rezolucija slika tehnikama dubokih neuronskih mreža
AuthorTin Mavračić
MentorTomislav Šmuc (mentor)
Committee memberTomislav Šmuc (predsjednik povjerenstva)
Committee memberRobert Manger (član povjerenstva)
Committee memberSaša Singer (član povjerenstva)
Committee memberGoran Igaly (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2018-11-27, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Računalni vid jedno je od standardnih područja strojnog učenja i umjetne inteligencije. Tipični zadaci računalnog vida mogu se svrstati u dohvat, obradu, analizu i razumijevanje slika. Super rezolucija slika jedan je od postupaka predobrade, kojim se nastoji povećati postojeća rezolucija slike. Često se koristi u obradi satelitskih i medicinskih slika, te kao postupak u različitim multimedijskim aplikacijama, kako bi se riješili problemi zbog prisutnosti šuma, zamagljenih i degradiranih područja. U okviru ovog rada istraženi su pristupi za rješavanje problema super rezolucije uz širok pregled područja, te je implementirano rješenje super rezolucije pomoću dubokih neuronskih mreža.
Abstract (english)
Computer vision is one of the standard areas of machine learning and artificial intelligence. Typical computer vision tasks include extraction, processing, analysing and understanding images. Image super resolution is one of the preprocessing steps by which one wishes to enlarge existing image resolution. It is often used in satellite and medical images, but also as processing step in multimedia applications to resolve problems caused by noise, blur, glare and other image degrading processes. Wide area of super resolution methods have been examined within this master’s thesis, and an approach based on deep neural networks was implemented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:618444
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-06-07 11:02:18