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Journal of Electronic Imaging

Forensic detection of noise addition in digital images
Author(s): Gang Cao; Yao Zhao; Rongrong Ni; Bo Ou; Yongbin Wang
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Paper 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.

Paper Details

Date Published: 12 March 2014
PDF: 9 pages
J. Electron. Imag. 23(2) 023004 doi: 10.1117/1.JEI.23.2.023004
Published in: Journal of Electronic Imaging Volume 23, Issue 2
Show Author Affiliations
Gang Cao, Communication Univ. of China (China)
Yao Zhao, Beijing Jiaotong Univ. (China)
Rongrong Ni, Beijing Jiaotong Univ. (China)
Bo Ou, Beijing Jiaotong Univ. (China)
Yongbin Wang, Communication Univ. of China (China)

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