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Proceedings Paper

Digital image identification based on generalized Gaussian model
Author(s): Nan Xing; Jing Wang; Xiaolei Zhang; Jingbo Zhang
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Paper Abstract

For identifying digital image authenticity, inherent noise of digital camera as the basis of judgment to calculate cross-correlation coefficient between the test image noise and the camera noise. Then the relevance of noise can be judged through the Generalized Gaussian Model to realize the image authenticity identification. The method has higher detection rate for forged digital images.

Paper Details

Date Published: 21 August 2014
PDF: 6 pages
Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923303 (21 August 2014); doi: 10.1117/12.2069695
Show Author Affiliations
Nan Xing, Xi'an Univ. of Technology (China)
Jing Wang, Xi'an Univ. of Technology (China)
Xiaolei Zhang, Xi'an Univ. of Technology (China)
Jingbo Zhang, Xi'an Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9233:
International Symposium on Photonics and Optoelectronics 2014
Zhiping Zhou, Editor(s)

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