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.
Higher-order Wavelet Statistics and their Application to Digital Forensics
2003-06-01
653005 byte
Conference paper
Electronic Resource
English
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