Forensic detection of noise addition in digital images

Gang Cao; Yao Zhao; Rongrong Ni; Bo Ou; Yongbin Wang

doi:10.1117/1.JEI.23.2.023004

12 March 2014 Forensic detection of noise addition in digital images

Gang Cao, Yao Zhao, Rongrong Ni, Bo Ou, Yongbin Wang

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 2, 023004 (March 2014). https://doi.org/10.1117/1.JEI.23.2.023004

Abstract

We proposed a technique to detect the global addition of noise to a digital image. As an anti-forensics tool, noise addition is typically used to disguise the visual traces of image tampering or to remove the statistical artifacts left behind by other operations. As such, the blind detection of noise addition has become imperative as well as beneficial to authenticate the image content and recover the image processing history, which is the goal of general forensics techniques. Specifically, the special image blocks, including constant and strip ones, are used to construct the features for identifying noise addition manipulation. The influence of noising on blockwise pixel value distribution is formulated and analyzed formally. The methodology of detectability recognition followed by binary decision is proposed to ensure the applicability and reliability of noising detection. Extensive experimental results demonstrate the efficacy of our proposed noising detector.

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Gang Cao, Yao Zhao, Rongrong Ni, Bo Ou, and Yongbin Wang "Forensic detection of noise addition in digital images," Journal of Electronic Imaging 23(2), 023004 (12 March 2014). https://doi.org/10.1117/1.JEI.23.2.023004

Published: 12 March 2014

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