Institute of Information Theory and Automation

Publication details

Blind Verification of Digital Image Originality: A Statistical Approach

Journal Article

Mahdian Babak, Nedbal R., Saic Stanislav

serial: IEEE Transactions on Information Forensics and Security vol.8, 9 (2013), p. 1531-1540

project(s): VG20102013064, GA MV, GA13-28462S, GA ČR

keywords: blind verification, image extraction, camera fingerprints

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abstract (eng):

Many methods for verifying the integrity of digital images employ various fingerprints associated with acquisition devices. Data on an acquisition device and fingerprints are extracted from an image and confronted with a reference data set that includes all possible fingerprints of the acquisition device. This allows us to draw a conclusion whether the digital image has been modified or not. Thus it is critical to have a sufficiently large, reliable, and true reference data set, otherwise critical miscalculations can arise. Reference data sets are extracted from image data sets that in turn are collected from unknown and nonguaranteed environments (mostly from the Internet). Since often software modifications leave no obvious traces in the image file (e.g., in metadata), it is not easy to recognize original images, from which fingerprints of acquisition devices can be extracted to form true reference data sets. This is the problem addressed in this paper.


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Last modification: 21.12.2012
Institute of Information Theory and Automation