prikaz prve stranice dokumenta Quite OK Image Format (QOI) za kompresiju slike
  Download
PDF 21.52 MB
master's thesis
Quite OK Image Format (QOI) za kompresiju slike
2023. urn:nbn:hr:190:503390
Štimac, Ivana
University of Rijeka
Faculty of Engineering

Cite this document

Štimac, I. (2023). Quite OK Image Format (QOI) za kompresiju slike (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:503390

Štimac, Ivana. "Quite OK Image Format (QOI) za kompresiju slike." Master's thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:503390

Štimac, Ivana. "Quite OK Image Format (QOI) za kompresiju slike." Master's thesis, University of Rijeka, Faculty of Engineering, 2023. https://urn.nsk.hr/urn:nbn:hr:190:503390

Štimac, I. (2023). 'Quite OK Image Format (QOI) za kompresiju slike', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 30 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:503390

Štimac I. Quite OK Image Format (QOI) za kompresiju slike [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2023 [cited 2024 April 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:503390

I. Štimac, "Quite OK Image Format (QOI) za kompresiju slike", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:190:503390

Please login to the repository to save this object to your list.
Metadata
TitleQuite OK Image Format (QOI) za kompresiju slike
AuthorIvana Štimac
MentorJonatan Lerga (mentor)
Committee memberGoran Mauša (predsjednik povjerenstva)
Committee memberSandi Ljubić (član povjerenstva)
Committee memberJonatan Lerga (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2023-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovoga rada je implementacija Quite OK Image Format (QOI) algoritma u programskom jeziku Python te njegova usporedba s drugim, često korištenih algoritmima za kompresiju slike po pitanju omjera kompresije i vremena izvršavanja algoritama. QOI algoritam je algoritam za kompresiju slike bez gubitaka te kodira svaki od piksela na jedan od četiri moguća načina. Prikazana je usporedba QOI algoritma s Bzip2 i Brotli algoritmima, koji su također algoritmi za kompresiju bez gubitaka. Rezultati su pokazali kako implementacija QOI algoritma u programskom jeziku Python daje manji omjer kompresije slike te je vrijeme kodiranja i dekodiranja slike dulje.
Abstract (english)
The topic of this Master’s thesis paper is the implementation of the Quite OK Image Format (QOI) algorithm using the Python programming language and its comparison with other commonly used image compression algorithms by measuring compression ratio and algorithm execution time. The QOI algorithm is a lossless image compression algorithm that encodes each pixel in one of four possible ways. Thesis shows the comparison between the QOI algorithm and the Bzip2 and Brotli algorithms, which are also lossless compression algorithms. The results showed that the implementation of the QOI algorithm in the Python programming language yields a lower image compression ratio and longer encoding and decoding time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:503390
Study programmeTitle: Computer Engineering
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 conditionsOpen access
Terms of useLicence Attribution 3.0 Unported (CC BY 3.0) icon
Created on2023-07-13 16:39:21