A Cyclostationarity Analysis Applied to Image Forensics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00341899" target="_blank" >RIV/67985556:_____/09:00341899 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A Cyclostationarity Analysis Applied to Image Forensics
Original language description
The processing history of images plays an important role in many fields of digital image processing and computer vision. In this paper, we focus on geometrical transformations and show that images that have undergone such transformations contain hidden cyclostationary features. This makes possible employing the well?developed theory and efficient methods of cyclostationarity for blind analyzing of history of images in respect to geometrical transformations. To verify this, we also propose a cyclostationarity detection method and show how the traces of geometrical transformations in an image can be detected and the specific parameters of the transformation estimated. The method is based on the fact that a cyclostationary signal has a frequency spectrumcorrelated with a shifted version of itself.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F08%2F0470" target="_blank" >GA102/08/0470: Detection of digital image forgeries by passive-blind image authentication</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of IEEE Workshop on Applications of Computer Vision (WACV 2009).
ISBN
978-1-4244-5498-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
SnowBird Utah
Event date
Dec 7, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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