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Relationship between entropy and SNR changes in image enhancement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F17%3A00316527" target="_blank" >RIV/68407700:21340/17:00316527 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1186/s13640-017-0232-z" target="_blank" >http://dx.doi.org/10.1186/s13640-017-0232-z</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13640-017-0232-z" target="_blank" >10.1186/s13640-017-0232-z</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Relationship between entropy and SNR changes in image enhancement

  • Original language description

    There are many techniques of image enhancement. Their parameters are traditionally tuned by maximization of SNR criterion, which is unfortunately based on the knowledge of an ideal image. Our approach is based on Hartley entropy, its estimation, and differentiation. Resulting gradient of entropy is estimated without knowledge of ideal images, and it is a subject of minimization. Both SNR maximization and gradient magnitude minimization cause various settings of the given filter. The optimum settings are compared, and their differences are discussed.

  • 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

    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<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Eurasip Journal on Image and Video Processing

  • ISSN

    1687-5281

  • e-ISSN

    1687-5281

  • Volume of the periodical

    2017

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

    000418229400001

  • EID of the result in the Scopus database

    2-s2.0-85038214031