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Title:Stiskanje risanih slik
Authors:ID Jeromel, Aljaž (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Lukač, Niko (Comentor)
Files:.pdf UN_Jeromel_Aljaz_2017.pdf (1,01 MB)
MD5: A036AFECC4FF364D3589EC9E9853BC1B
PID: 20.500.12556/dkum/fcbca5ea-25ee-45a5-877b-7eb0902eee41
 
.zip UN_Jeromel_Aljaz_2017.zip (11,53 KB)
MD5: 5CAE10E338C5B659770F252BBABE4122
PID: 20.500.12556/dkum/8f89bb5b-1f2d-4604-86bc-e43b7b44ecc0
 
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 opišemo postopek in implementacijo novega algoritma za stiskanje risanih slik. Algoritem deluje tako, da sliko najprej razbije na povezana območja, za vsako območje izračuna verižno kodo obrobe, nato pa nize teh verižnih kod pretvori in stisne s transformacijami BWT, MTF in RLE. Na koncu nad tako stisnjenimi podatki poženemo aritmetično kodiranje. Algoritem zelo dobro deluje nad visoko kakovostnimi slikami manjše velikosti. V primerjavi s formatom PNG smo dobili tudi do 98 % boljše rezultate.
Keywords:stiskanje slik, verižne kode, transformacije nizov, aritmetično kodiranje
Place of publishing:[Maribor
Publisher:A. Jeromel
Year of publishing:2017
PID:20.500.12556/DKUM-66935 New window
UDC:004.932(043.2)
COBISS.SI-ID:20886294 New window
NUK URN:URN:SI:UM:DK:OLE9FD21
Publication date in DKUM:18.08.2017
Views:2146
Downloads:329
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:19.07.2017

Secondary language

Language:English
Title:Cartoon image compression
Abstract:In this thesis, a procedure and implementation of a new cartoon image compression algorithm are presented. First, the image is segmented and a chain code for each of the segments is calculated. The resulting chain code strings are transformed and compressed with BWT, MTF and RLE. Then, arithmetic encoding is used to further compress the data. The performance of the algorithm is best with smaller images of higher quality. Compared to the lossless PNG algorithm, the compressed files of corresponding images were up to 98 % smaller.
Keywords:image compression, chain codes, string transformations, arithmetic encoding


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