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master's thesis
Primjena konvolucijskih modela za povećanje rezolucije slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:857872
Pavleković, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pavleković, I. (2021). Primjena konvolucijskih modela za povećanje rezolucije slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:857872

Pavleković, Ivan. "Primjena konvolucijskih modela za povećanje rezolucije slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:857872

Pavleković, Ivan. "Primjena konvolucijskih modela za povećanje rezolucije slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:857872

Pavleković, I. (2021). 'Primjena konvolucijskih modela za povećanje rezolucije slike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:857872

Pavleković I. Primjena konvolucijskih modela za povećanje rezolucije slike [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:168:857872

I. Pavleković, "Primjena konvolucijskih modela za povećanje rezolucije slike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:857872

Metadata
TitlePrimjena konvolucijskih modela za povećanje rezolucije slike
Title (english)Application of Convolutional Models for Image Superresolution
AuthorIvan Pavleković
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Uvijek je poželjno imati sliku velike rezolucije. Od manje slike moguće je tradicionalnim metodama kao što su bilinearna i bikubična interpolacija povećati sliku, ali dolazi do uvođenja nazubljenih rubova, zamućenosti i povećanja šuma. U novine se vrijeme predlažu modeli zasnovani na dubokom učenja koji povećavaju rezoluciju slika pritom rekonstruirajući visokofrekventne detalje. Ti modeli primjenu nalaze na području medicinske i satelitske fotografije te za opću primjenu u medijskim sustavima. U ovom radu implementirana su tri modela: WDSR, DRLSR i ESPCN. Korišteni su PSNR i SSIM kao ocjene kvalitete. Implementirani modeli su učeni na DIV2K skupu, a testirani na skupovima Set5, Set14, T91, Urban100, BSDS100, BSDS200, Manga109, General100, Historical, Aerial, PROBA-V i DRIVE.
Abstract (english)
Having a large resolution image is always desired. It is possible to transform a low resolution image to a high resolution image using the classical methods such as bilinear and bicubic interpolation. However they also introduce jaggedness, blurriness and noise amplification. Recently deep learning models have been proposed for generating images with high frequency details. These models are used in medical and satelite imagery as well as general media. In the context of this thesis three models have been implemented: WDSR, DRLSR and ESPCN. PSNR and SSIM are used as measures of quality. The models have been trained on the DIV2K dataset and tested on Set5, Set14, T91, Urban100, BSDS100, BSDS200, Manga109, General100, Historical, Aerial, PROBA-V and DRIVE datasets.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:857872
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 15:49:45