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Image compression methodology based on fuzzy transform using block similarity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14017TX" target="_blank" >RIV/61988987:17610/13:A14017TX - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Image compression methodology based on fuzzy transform using block similarity

  • Original language description

    The aim of the work is to continue in improvement of the image compression algorithm based on the F-transform. The image is decomposed into blocks and characterized by the F-transform components. The latter constitutes a simple lossy compression. For better quality of reconstructed images, we compress certain areas (neighborhoods of edges) nonlossy. The proposed approach is based on establishing similarity between various blocks and making compression of only one representative. Last but not least, theproposed compression algorithm is supplied with smart technique of joining adjacent blocks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JU - Aeronautics, aerodynamics, aeroplanes

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

  • ISBN

    9789078677789

  • ISSN

    1951-6851

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    521-526

  • Publisher name

    Atlantis press

  • Place of publication

  • Event location

    Milano

  • Event date

    Sep 11, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article