Estimation of linear transformation by analyzing the periodicity of interpolation

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Linear transformation, such as rotation, scaling, or any combinations of geometric attacks, is among the most common forms of image manipulation. This letter proposes a forensic technique that estimates the linear transformation of an investigated image. We exploited the periodic properties of interpolation by the second-derivative of the transformed image in both the row and column directions. Both the magnitude and phase information of the derived signals were analyzed to estimate the transformation matrix accurately. Empirical evidence from a large database of manipulated images indicates the superior performance of the proposed method.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2014-01
Language
English
Article Type
Article
Citation

PATTERN RECOGNITION LETTERS, v.36, no.1, pp.89 - 99

ISSN
0167-8655
DOI
10.1016/j.patrec.2013.09.028
URI
http://hdl.handle.net/10203/189181
Appears in Collection
CS-Journal Papers(저널논문)
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