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Title:Brezizgubno in skoraj brezizgubno stiskanje rastrskih slik, temelječe na filtrih PNG : diplomsko delo
Authors:ID Kovač, David (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Podgorelec, David (Comentor)
Files:.pdf UN_Kovac_David_2021.pdf (1,23 MB)
MD5: C185B5D12EC1A6FD8E516B51084BD544
PID: 20.500.12556/dkum/b1b612b2-6b25-4591-b2d5-b4e8b6f81886
 
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 algoritem brezizgubnega in skoraj brezizgubnega stiskanja rastrskih slik. Algoritem najprej napove vrednosti z uporabo filtrov PNG nad celotno sliko in s pomočjo hevristične funkcije izbere najprimernejšega. Nato uporabimo transformaciji BWT in MTF, ki nam podatke pripravita v obliko, ki je bolj stisljiva. Na koncu pridobljene podatke stisnemo še z uporabo Huffmanovega kodiranja. Velikost izhodnih datotek na koncu primerjamo s formatoma PNG in GIF.
Keywords:stiskanje podatkov, rastrska slika, transformacija MTF, transformacija BWT, Huffmanovo kodiranje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[D. Kovač]
Year of publishing:2021
Number of pages:VIII, 28 f.
PID:20.500.12556/DKUM-80238 New window
UDC:004.353.244:004.627(043.2)
COBISS.SI-ID:94573315 New window
Publication date in DKUM:18.10.2021
Views:886
Downloads:107
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:02.09.2021

Secondary language

Language:English
Title:Lossless and near-lossless raster image compression based on PNG filters
Abstract:A lossless and near lossless raster image compression are presented in this thesis. The algorithm first predicts values using PNG filters on the whole picture. A simple hevristics is implemented to deterime which filter to choose. BWT and MTF transformations are applied to achieve better data compression. Finnaly, the Huffman coding is used for actual data compression. Output file sizes are compared with GIF and PNG formats.
Keywords:data compression, raster image, MTF transformation, BWT transformation, Huffman coding


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