Format WebP : diplomsko delo

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Title:	Format WebP : diplomsko delo
Authors:	ID Ornik, Davor (Author) ID Žalik, Borut (Mentor) More about this mentor... ID Jesenko, David (Comentor)
Files:	UN_Ornik_Davor_2021.pdf (1,49 MB) MD5: 3134EC43518DBF0F0DE13A390E30BF5D PID: 20.500.12556/dkum/ab3a2723-0639-4141-aa25-42d069ce4b7b
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V diplomskem delu predstavimo kodiranje in dekodiranje formata WebP, ki omogoča kakovostno stiskanje rastrskih slik za svetovni splet. Najprej opišemo delovanje izgubnega stiskanja, zatem pa še stiskanja brez izgub. V zadnjem delu naloge predstavimo rezultate primerjav stiskanja s formatom JPEG in JPEG2000.
Keywords:	algoritmi, rastrske slike, napoved, stiskanje z izgubami in brez izgub
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[D. Ornik]
Year of publishing:	2021
Number of pages:	IX, 31 f.
PID:	20.500.12556/DKUM-80435
UDC:	004.932:004.627(043.2)
COBISS.SI-ID:	96329731
Publication date in DKUM:	18.10.2021
Views:	1138
Downloads:	119
Metadata:
Categories:	KTFMB - FERI
:	ORNIK, Davor, 2021, Format WebP : diplomsko delo [online]. Bachelor’s thesis. Maribor : D. Ornik. [Accessed 16 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=80435 Copy citation

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License:	CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International

Link:	http://creativecommons.org/licenses/by-sa/4.0/
Description:	This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:	13.09.2021

Language:	English
Title:	WebP format
Abstract:	The encoding and decoding of WebP format are presented in this thesis. The format supports high-quality compression of raster images for the World Wide Web. After an introduction, the process of lossy compression is described in detail, followed by the lossless compression process. The last part of the thesis presents the results of the comparisons with JPEG and JPEG 2000 formats.
Keywords:	algorithms, raster images, prediction, lossy and lossless compression

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