A Cyclostationarity Analysis Applied to Scaled Images
Result description
The knowledge of image?s geometric history plays an important role in image signal compression, image registration, image retrieval and especially in image forensics. In this paper we focus on scaling and show that images that have undergone scaling contain hidden cyclostationary features. This makes possible employing the well?developed theory and efficient methods of cyclostationarity for a blind analyzing of the history of images in respect to scaling transformation. To verify this, we also propose acyclostationarity detection method applied to our problem and show how the traces of scaling 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 spectrum correlated with a shifted version of itself. A quantitative measure of the efficiency of the method is proposed as well.
Keywords
Interpolationscalingcyclostationaryauthenticationimage forensics
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Cyclostationarity Analysis Applied to Scaled Images
Original language description
The knowledge of image?s geometric history plays an important role in image signal compression, image registration, image retrieval and especially in image forensics. In this paper we focus on scaling and show that images that have undergone scaling contain hidden cyclostationary features. This makes possible employing the well?developed theory and efficient methods of cyclostationarity for a blind analyzing of the history of images in respect to scaling transformation. To verify this, we also propose acyclostationarity detection method applied to our problem and show how the traces of scaling 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 spectrum correlated with a shifted version of itself. A quantitative measure of the efficiency of the method is proposed as well.
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
GA102/08/0470: Detection of digital image forgeries by passive-blind image authentication
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Neural Information Processing
ISBN
978-3-642-10682-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Bangkok
Event date
Dec 1, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Result type
D - Article in proceedings
CEP
IN - Informatics
Year of implementation
2009