Blind CFA Interpolation Detection Based on the Entropy

Abstract:

Blind CFA interpolation detection，which identifies the demosaicing method used in digital camera by analyzing output images, provides many efficient tools for digital image forensics．In this paper, we proposes an approach of blind CFA interpolation detection based on the entropy of the correlative coefficients．By solving the pixel matrix equation, the CFA interpolation coefficients are calculated and the entropy of the coefficients are obtained, and they are further fed to SVM classifier to identify forgery. 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 robnstness especially against lossy JPEG compression.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 787-791
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.787
• Online since: June 2012
• Authors: Xiao Zhong Pan, Jian Xie
• Keywords: Color Filter Array (CFA) Interpolation, Digital Image Forensics, Entropy, Support Vector Machine (SVM)

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