Digital Image Forensics Using Orthogonal 1-D Objects

NIU Shaozhang; MENG Xianzhe; CUI Haoliang

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NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,

Citation:

NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,

NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,

Citation:

NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,

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Digital Image Forensics Using Orthogonal 1-D Objects

Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China

Funds: This work is supported by National Natural Science Foundation of China (No.61070207, No.61370195), Beijing Natural Science Foundation (No.4132060) and National Cryptography Development Foundation of China (No.MMJJ201201002).

Received Date: 2013-01-01
Rev Recd Date: 2013-03-01
Publish Date: 2014-07-05

Abstract

Abstract

The imaging features are shared by all images shot by cameras, the artificial images may break these features. We introduce the image formation model to image forensics. Orthogonal 1-D objects with known scale on either direction are used to estimate the principal point parameter, and the inconsistency of the principal point indicates a forgery. Experiments show that our method can detect cropping and copy-paste efficiently, and it is robust to smoothing, noise and JPEG compression.
- Image forensics,
- Camera calibration,
- 1-D reference object

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References(14)

References

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