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Title:Primerjava učinkovitosti algoritmov za stiskanje slik: heif, jpeg2000, png in webp : diplomsko delo
Authors:ID Vučetić, Siniša (Author)
ID Jesenko, David (Mentor) More about this mentor... New window
ID Kohek, Štefan (Comentor)
Files:.pdf VS_Vucetic_Sinisa_2024.pdf (1,54 MB)
MD5: 99E87EDF858929B30BBDE41D1B4EA360
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo analizira učinkovitost štirih formatov za stiskanje slik: PNG, WebP, JPEG2000 in HEIF. Glavni cilj dela je primerjava teh formatov na enakih slikah, da se oceni njihova kakovost po stiskanju, faktor stiskanja ter hitrost stiskanja in razširjanja. Po podrobnem opisu posameznih formatov, delo ponuja analizo in primerjavo rezultatov, pri čemer se HEIF izkaže za najučinkovitejšega v stiskanju, kljub počasnejšem času obdelave. WebP nudi najboljše ravnotežje med učinkovitostjo stiskanja in hitrostjo obdelave, medtem ko se JPEG2000 izkaže za dober kompromis med kakovostjo in faktorjem stiskanja, vendar je počasnejši pri stiskanju in razširjanju.
Keywords:PNG, WebP, JPEG2000, HEIF, stiskanje slik
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[S. Vučetić]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (IX, 50 f.))
PID:20.500.12556/DKUM-90194 New window
UDC:004.627(043.2)
COBISS.SI-ID:222057219 New window
Publication date in DKUM:07.10.2024
Views:140
Downloads:84
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.08.2024

Secondary language

Language:English
Title:Comparison of efficiency of image compression algorithms: heif, jpeg2000, png and webp
Abstract:This thesis analyzes the efficiency of four image compression formats: PNG, WebP, JPEG2000 and HEIF. The main objective is to compare these formats using identical images to assess their image quality after compression, compression ratio, and the speed of compression and decompression. Following a detailed description of each format, the thesis offers an analysis and comparison of the results, with HEIF proving to be the most effective in compression despite slower processing times. WebP offers the best balance between compression efficiency and processing speed, while JPEG2000 presents a good compromise between image quality and compression ratio, although it is slower in both compression and decompression.
Keywords:PNG, WebP, JPEG2000, HEIF, image compression


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