A Fast Multilevel Fuzzy Transform Image Compression Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA20024WT" target="_blank" >RIV/61988987:17610/19:A20024WT - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2075-1680/8/4/135/htm" target="_blank" >https://www.mdpi.com/2075-1680/8/4/135/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/axioms8040135" target="_blank" >10.3390/axioms8040135</a>
Alternative languages
Result language
angličtina
Original language name
A Fast Multilevel Fuzzy Transform Image Compression Method
Original language description
We present a fast algorithm that improves on the performance of the multilevel fuzzy transform image compression method. The multilevel F-transform (for short, MF-tr) algorithm is an image compression method based on fuzzy transforms that, compared to the classic fuzzy transform (F-transform) image compression method, has the advantage of being able to reconstruct an image with the required quality. However, this method can be computationally expensive in terms of execution time since, based on the compression ratio used, different iterations may be necessary in order to reconstruct the image with the required quality. To solve this problem, we propose a fast variation of the multilevel F-transform algorithm in which the optimal compression ratio is found in order to reconstruct the image in as few iterations as possible. Comparison tests show that our method reconstructs the image in at most half of the CPU time used by the MF-tr algorithm.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Axioms
ISSN
2075-1680
e-ISSN
2075-1680
Volume of the periodical
8
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000505589700024
EID of the result in the Scopus database
2-s2.0-85077212511