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Title:Vplivi transformacij MTF, IF in RS na informacijsko entropijo rastrskih slik z zveznimi barvnimi toni : diplomsko delo
Authors:ID Vrbnjak Drozg, Rene (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
Files:.pdf VS_Vrbnjak_Drozg_Rene_2023.pdf (1,08 MB)
MD5: 4BF60A0B1947F774E865B0430E807072
 
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 algoritme transformacij nizov, in sicer: transformacija premik naprej, transformacija inverzne frekvence in transformacija desno manjše. Nize tvorimo iz sivin‐ skih rastrskih slik, pri čemer preizkusimo različne načine branja: branje z rastrskim prebiranjem, branje levo‐desno, branje cik‐cak, območno branje cik‐cak, branje v obliki spirale in branje v obliki traku. Kot najuspešnejše se izkaže transformacija inverznih frekvenc z branjem v obliki traku, s prebiranjem dvanajstih vrstic. Na naboru 36 sivinskih rastrskih slik različnih ločljivosti dosežemo v povprečju za 26 odstotkov znižanje informacijske entropije.
Keywords:niz, transformacije niza, informacijska entropija, rastrska slika
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[R. Vrbnjak Drozg]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (VII, 23 f.))
PID:20.500.12556/DKUM-85703 New window
UDC:004.925(043.2)
COBISS.SI-ID:180563203 New window
Publication date in DKUM:12.10.2023
Views:676
Downloads:122
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:06.09.2023

Secondary language

Language:English
Title:Effects of MTF, IF, and RS Transformations on the Information Entropy for Continuous-Tone Raster Images
Abstract:In the thesis, algorithms for string transformations are presented, namely: Move-To-Front, Inversion Frequency, and Right Smaller. Strings are concatenated from grayscale raster images with various scanning methods, including raster scanning, left-right scanning, zig-zag scanning, zig-zag area scanning, spiral scanning, and tape scanning. The inversion frequency algorithm paired with the twelve-line tape scanning is the best. An average decrease of 26 percent in information entropy is achieved on a set of 36 grayscale raster images of various resolutions.
Keywords:string, string transformations, information entropy, raster images


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