Digital image identification based on generalized Gaussian model

Nan Xing; Jing Wang; Xiaolei Zhang; Jingbo Zhang

doi:10.1117/12.2069695

21 August 2014 Digital image identification based on generalized Gaussian model

Nan Xing, Jing Wang, Xiaolei Zhang, Jingbo Zhang

Proceedings Volume 9233, International Symposium on Photonics and Optoelectronics 2014; 923303 (2014) https://doi.org/10.1117/12.2069695
Event: International Symposium on Photonics and Optoelectronics (SOPO 2014), 2014, Suzhou, China

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.

Citation Download Citation

Nan Xing, Jing Wang, Xiaolei Zhang, and Jingbo Zhang "Digital image identification based on generalized Gaussian model", Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923303 (21 August 2014); https://doi.org/10.1117/12.2069695

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