Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0193304" target="_blank" >RIV/00216305:26230/26:0193304 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-90065-5_28" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-90065-5_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-90065-5_28" target="_blank" >10.1007/978-3-031-90065-5_28</a>
Alternative languages
Result language
angličtina
Original language name
Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
Original language description
A variant of Evolution Strategy is applied to design transition functions for cellular automata using a newly proposed representation denominated as function-based conditional rules. The goal is to train the cellular automata to eliminate various types of noise from digital images using a single evolved function. The proposed method allowed us to design high-quality filters working with 5-pixel neighbourhood only which is substantially more efficient than 9 or even 25 pixels used by most of the existing filters. We show that salt-and-pepper noise and random noise of several tens of percentages intensity may successfully be treated. Moreover, the resulting filters have also shown an ability to filter impulse-burst noise for which they were not trained explicitly. Finally we demonstrate that our filters are capable to tackle with up to 40% random noise where most of existing filters fail.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applications of Evolutionary Computation: 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II
ISBN
978-3-031-90064-8
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
457-472
Publisher name
Springer Nature Switzerland AG
Place of publication
Trieste
Event location
Terst
Event date
Apr 23, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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