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Title:Izboljšana metoda stiskanja risanih slik : magistrsko delo
Authors:ID Jeromel, Aljaž (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
Files:.pdf MAG_Jeromel_Aljaz_2019.pdf (2,54 MB)
MD5: E25E28EAD42B491355E5F29C1BE38C64
PID: 20.500.12556/dkum/d2efc549-01cc-4592-bf13-1e81602eef4f
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu opišemo izboljšave algoritma stiskanja risanih slik, ki smo ga predstavili v diplomski nalogi. Z uporabo osemsmerne povezanosti pikslov, združevanjem verižnih kod in optimizacijo zapisa RLE izboljšamo učinkovitost stiskanja, medtem ko z uporabo gručenja in uteženega združevanja območij uravnavamo kakovost rekonstrukcije slike. Pokažemo, da izboljšan algoritem risane slike stisne učinkoviteje, kot algoritem brez izboljšav, prav tako pa bolje ohrani podrobnosti v slikah. Učinkovitost izboljšanega algoritma primerjamo tudi s sorodnimi metodami stiskanja risanih slik, algoritmom PNG in standardom JPEG. Ugotovili smo, da učinkovitost predstavljenega algoritma na risanih slikah večkratno presega učinkovitosti vseh primerjanih metod.
Keywords:Stiskanje slik, verižne kode, gručenje, transformacije nizov.
Place of publishing:[Maribor
Place of performance:[Maribor
Publisher:A. Jeromel
Year of publishing:2019
Number of pages:VIII, 35 f.
PID:20.500.12556/DKUM-73459 New window
UDC:528.852:004.932.1(043.2)
COBISS.SI-ID:22340886 New window
NUK URN:URN:SI:UM:DK:LF3J259N
Publication date in DKUM:10.05.2019
Views:1660
Downloads:150
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:19.04.2019

Secondary language

Language:English
Title:Improved cartoon image compression method
Abstract:In this thesis, improvements of cartoon image compression algorithm, presented in our BsC thesis work, are described. The compression efficiency is improved by using the 8-connectivity, chain code concatenation, and RLE optimization, while clustering and weighted region merging improve the quality of the reconstructed images. It is shown by experiments, that the improved algorithm achieves better compression efficiency than the original one, despite better retaining small details in cartoon images. The compression efficiency was compared with the related methods, the algorithm PNG, and the JPEG standard. The compression efficiency, achieved by the presented algorithm, outperforms the compared methods by a few times.
Keywords:Image compression, chain codes, clustering, string transformations.


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