A New Transformation Technique for Reducing Information Entropy: A Case Study on Greyscale Raster Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43973339" target="_blank" >RIV/49777513:23520/23:43973339 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/e25121591" target="_blank" >https://doi.org/10.3390/e25121591</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/e25121591" target="_blank" >10.3390/e25121591</a>

Result language
angličtina
Original language name
A New Transformation Technique for Reducing Information Entropy: A Case Study on Greyscale Raster Images
Original language description
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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/GF23-04622L" target="_blank" >GF23-04622L: Data compression paradigm based on omitting self-evident information - COMPROMISE</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Result description