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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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