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Evolution of efficient real-time non-linear image filters for FPGAs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106274" target="_blank" >RIV/00216305:26230/13:PU106274 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00500-013-1040-8" target="_blank" >http://dx.doi.org/10.1007/s00500-013-1040-8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00500-013-1040-8" target="_blank" >10.1007/s00500-013-1040-8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of efficient real-time non-linear image filters for FPGAs

  • Original language description

    Image processing represents a research field in which high-quality solutions have been obtained using various soft computing techniques. Evolutionary algorithms constitute a class of stochastic search methods that are applicable in both optimization and design tasks. In the area of circuit design Cartesian Genetic Programming has often been utilized in combination with an algorithm of Evolutionary Strategy. Digital image filters represent a specific class of circuits whose design can be performed by means of this approach. Switching filters are advanced non-linear filtering techniques in which the main idea is to detect and filter the noise pixels while keeping the uncorrupted pixels unchanged in order to increase the quality of the resulting image. The aim of this article is to present a robust design technique based on Cartesian Genetic Programming for the automatic synthesis of switching image filters intended for real-time processing applications. The robustness of the proposed evolutionary approach is evaluated using four design problems including the removal of salt and pepper noise, random shot noise, impulse burst noise and impulse burst noise combined with random shot noise. An extensive evaluation is performed in order to compare the properties of the evolved switching filters with the best conventional solutions. The evaluation has shown that the evolved switching filters exhibit a very good trade off between the quality of filtering and the implementation cost in field programmable gate arrays.

  • Czech name

  • Czech description

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

    20206 - Computer hardware and architecture

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    SOFT COMPUTING

  • ISSN

    1432-7643

  • e-ISSN

    1433-7479

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    2163-2180

  • UT code for WoS article

    000325822900017

  • EID of the result in the Scopus database

    2-s2.0-84885909407