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master's thesis
Automatska optimizacija slika za web
2017. urn:nbn:hr:200:792471
Kopić, Vlado
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Kopić, V. (2017). Automatska optimizacija slika za web (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:792471

Kopić, Vlado. "Automatska optimizacija slika za web." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:792471

Kopić, Vlado. "Automatska optimizacija slika za web." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:792471

Kopić, V. (2017). 'Automatska optimizacija slika za web', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:792471

Kopić V. Automatska optimizacija slika za web [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:792471

V. Kopić, "Automatska optimizacija slika za web", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:792471

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Metadata
TitleAutomatska optimizacija slika za web
Title (english)Automatic image optimization for Web
AuthorVlado Kopić
MentorIrena Galić (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2017-10-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U radu je obrađena tema automatske optimizacije slika za Web te je predloženo i realizirano konkretno programsko rješenje. Postavljanje okvira za uspješno predstavljanje teme započeto je definiranjem pojmova kompresije i specifično, kompresije slika. Nakon uvođenja pojma JPEG kompresije slika i predstavljanja osnovnog oblika algoritma za JPEG enkodiranje, definirani su ključni dijelovi tog algoritma. Opisan je postupak prelaska iz RGB u YCbCr prostor boja, diskretna kosinusna transformacija, kvantizacija te postupak entropijskog kodiranja koji završava primjenom Huffmanovog algoritma. U nastavku se predstavljaju konkretni primjeri JPEG kompresora te pregled i usporedba najpopularnijih i najraširenijih među njima. Usporedbom libjpeg i mozjpeg kompresora i isticanjem njihovih prednosti i mana stvara se podloga za praktično razumijevanje primjene ovakvih alata ne samo na ovom konkretnom radu, nego i generalno. Konačno, uvodi se pojam metrike kvalitete slike te se definiraju osnovne matematičke relacije za svaku od njih, kao i njihova značenja. Na samom kraju se opisuje implementacija sustava automatske implementacije slika za Web realizirana u ovom radu, te se u kratkim crtama predstavljaju osnovne tehnologije potrebne za njegovo stvaranje.
Abstract (english)
The topic of discussion in this thesis was the automated optimization of images for the Web, including the suggestion and implementation of a concrete programmed solution. Setting the framework for the successful presentation of this topic was initiated by first defining the terms compression and more specifically, image compression. 30 After introducing the term JPEG compression and presenting the basic form of the JPEG encoding algorithm, key parts of that algorithm were defined. The process of transitioning from the RGB color space to the YCbCr space was detailed, as well as the terms discrete cosine transform, quantization and entropy coding, concluding with the application of the Huffman algorithm. By presenting concrete examples of JPEG compressors and comparing two of them, libjpeg and mozjpeg¸ the groundwork was set for understanding the application of such tools not only in the context of this thesis, but also in general. Finally, the term image quality metric is introduced and the basic mathematical relations for each of them, as well as their respective relevance, are defined and explained. The paper concludes by describing the most important technologies used in the implementation of an automated image optimization solution.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:792471
Study programmeTitle: Graduate University Study Programme in 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 In copyright icon
Created on2017-10-19 15:14:24