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Forensic detection of noise addition in digital images

[+] Author Affiliations
Gang Cao

Communication University of China, School of Computer Science, Beijing 100024, China

Yao Zhao

Beijing Jiaotong University, Institute of Information Science, Beijing 100044, China

Rongrong Ni

Beijing Jiaotong University, Institute of Information Science, Beijing 100044, China

Bo Ou

Beijing Jiaotong University, Institute of Information Science, Beijing 100044, China

Yongbin Wang

Communication University of China, School of Computer Science, Beijing 100024, China

J. Electron. Imaging. 23(2), 023004 (Mar 12, 2014). doi:10.1117/1.JEI.23.2.023004
History: Received August 17, 2013; Revised January 17, 2014; Accepted February 11, 2014
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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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Citation

Gang Cao ; Yao Zhao ; Rongrong Ni ; Bo Ou and Yongbin Wang
"Forensic detection of noise addition in digital images", J. Electron. Imaging. 23(2), 023004 (Mar 12, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.2.023004


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