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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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e-ISSN
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Number of pages
4
Pages from-to
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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
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