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Digital Image Forgery Detection by Local Statistical Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00348592" target="_blank" >RIV/67985556:_____/10:00348592 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31160/10:00036184

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Digital Image Forgery Detection by Local Statistical Models

  • Original language description

    We propose an application of local statistical models in the form of a locally estimated Gaussian mixture to image forgery detection. The estimated mixture is used to compute the so called log-likelihood transformation of the original image. We show thatimage manipulations of different type may be visible in a suitably designed log-likelihood image. Unlike other methods the forgery detection based on local statistical model is rather non-specific and suitable to emphasize various traces of possible image tampering without any prior information.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

  • ISBN

    978-0-7695-4222-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE computer society

  • Place of publication

    Los Alamitos, California

  • Event location

    Darmstadt

  • Event date

    Oct 15, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article