| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:A new transformation technique for reducing information entropy : a case study on greyscale raster images
Authors:ID Žalik, Borut (Author)
ID Strnad, Damjan (Author)
ID Podgorelec, David (Author)
ID Kolingerová, Ivana (Author)
ID Lukač, Luka (Author)
ID Lukač, Niko (Author)
ID Kolmanič, Simon (Author)
ID Rizman Žalik, Krista (Author)
ID Kohek, Štefan (Author)
Files:.pdf entropy-25-01591.pdf (26,44 MB)
MD5: B4543BC27BF55BA39948477BB4FA0BF9
 
URL https://www.mdpi.com/1099-4300/25/12/1591
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied.
Keywords:computer science, algorithm, string transformation, information entropy, Hilbert space filling curve
Publication status:Published
Publication version:Version of Record
Submitted for review:07.11.2023
Article acceptance date:22.11.2023
Publication date:27.11.2023
Publisher:MDPI
Year of publishing:2023
Number of pages:13 str.
Numbering:Vol. 25, iss. 12, [art. no.] 1591
PID:20.500.12556/DKUM-88741 New window
UDC:004
ISSN on article:1099-4300
COBISS.SI-ID:174050051 New window
DOI:10.3390/e25121591 New window
Publication date in DKUM:22.05.2024
Views:325
Downloads:31
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Entropy
Shortened title:Entropy
Publisher:MDPI
ISSN:1099-4300
COBISS.SI-ID:515806233 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-4458-2022
Name:Paradigma stiskanja podatkov z odstranjevanjem obnovljivih informacij

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041-2020
Name:Računalniški sistemi, metodologije in inteligentne storitve

Funder:Other - Other funder or multiple funders
Funding programme:Czech Science Foundation
Project number:23-04622L

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:računalniška znanost, algoritmi, informacijska entropija


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica