Fuzzy logic approach in salt and pepper noise
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AA2302CD4" target="_blank" >RIV/61988987:17610/22:A2302CD4 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0045790622004955" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0045790622004955</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compeleceng.2022.108264." target="_blank" >10.1016/j.compeleceng.2022.108264.</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy logic approach in salt and pepper noise
Original language description
This paper describes a new method based on fuzzy logic to denoising images corrupted by salt and pepper noise. In this approach, noisy pixels are detected via fuzzy IF-THEN rules and restored with a multi-level fuzzy filter. For reducing the amount of noise corruption, the filtering process begins with a window of size $3times3$ centered at the noisy pixels. Then, a floating window in the form of fuzzy compositions is used to the remaining unrestored pixels. A fuzzy logic controller is employed for improving the restoration results. By comparing this method with many well-established denoising methods, we have shown that the mentioned technique has high accuracy and reasonably low complexity at very high noise densities with preserving the structure and edge information of images.
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
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OECD FORD branch
10102 - Applied 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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COMPUT ELECTR ENG
ISSN
0045-7906
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
108264
Country of publishing house
DE - GERMANY
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000839322000003
EID of the result in the Scopus database
2-s2.0-85135409034