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undergraduate thesis
Demozaik algoritam temeljen na dubokom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:244279
Šeketa, Dajana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šeketa, D. (2019). Demozaik algoritam temeljen na dubokom učenju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:244279

Šeketa, Dajana. "Demozaik algoritam temeljen na dubokom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:244279

Šeketa, Dajana. "Demozaik algoritam temeljen na dubokom učenju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:244279

Šeketa, D. (2019). 'Demozaik algoritam temeljen na dubokom učenju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:244279

Šeketa D. Demozaik algoritam temeljen na dubokom učenju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:244279

D. Šeketa, "Demozaik algoritam temeljen na dubokom učenju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:244279

Metadata
TitleDemozaik algoritam temeljen na dubokom učenju
Title (english)Deep Learning Based Demosaicking Algorithm
AuthorDajana Šeketa
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Postoji više vrsta senzora za dobivanje fotografije u digitalnoj kameri, a u ovom radu detaljnije je opisan postupak obrade „sirove“ fotografije dobivene na senzoru prekrivenom integriranim Bayerovim filtrom. Taj postupak naziva se demozaiciranjem, a njegov rezultat demozaicirana fotografija. Postoje razne implementacije demozaik algoritama, od ugrađenih MatLab funkcija do onih temeljenih na dubokom učenju. U ovom radu provedena je usporedba kvalitete četiri takva algoritma PSNR i PIQE testovima te su vizualnom usporedbom interpoliranih fotografija prikazani najčešći artefakti koji se javljaju prilikom demozaiciranja: artefakt lažne boje i artefakt resa.
Abstract (english)
There are several types of built-in color sensors in digital cameras, and in this paper, a more detailed description of the „raw“ image processing procedure obtained on the sensor covered with the integrated Bayer filter is described. This process is called demosaicking, and its result is a demosaiced photograph. There are various implementations of demosaicking algorithms, from embedded MatLab functions to those based on deep learning. In this paper four such algorithms are compared with the PSNR and PIQE tests. Also, visual comparison of interpolated photographs shows the most common artifacts that occur during demosaicking: false-color and zippering artifact.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:244279
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 on2020-01-07 22:19:10