We describe a statistical model for natural images that is built upon
a multi-scale wavelet decomposition. The model consists of first- and
higher-order statistics that capture certain statistical regularities
of natural images. We show how this model can be useful in several
digital forensic applications, specifically in detecting various types
of digital tampering.
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