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| Blind CFA Interpolation Detection Based on Covariance Matrix |
| Wang Bo①; Kong Xiang-wei①; You Xin-gang①②; Fu Hai-yan① |
| ①Information Security Research Center of Dalian University of Technology, Dalian 116024, China; ②Beijing Institute of Electronic Technology and Application, Beijing 100091, China |
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Abstract Blind CFA interpolation detection, which identifies the demosaicing method used in digital camera by analyzing output images, provides an efficient tool for digital image forensics. This paper proposes an approach of blind CFA interpolation detection based on interpolation coefficients estimation. By solving the covariance matrix equation, a vector of the interpolation coefficients is obtained, which is further fed to SVM classifier. The experimental results show a high accuracy on blind CFA interpolation detection. Compared with existing ones, the proposed method in this paper indicates a better performance on the robustness against additive Gaussian white noises and lossy JPEG compression.
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Received: 29 January 2008
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2009, Vol. 31 
