Journal of Applied Sciences ›› 2015, Vol. 33 ›› Issue (1): 87-94.doi: 10.3969/j.issn.0255-8297.2015.01.010

• Signal and Information Processing • Previous Articles     Next Articles

Forgery Detection via Inter-channel Correlation of CFA Images

  

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
  • Received:2014-12-02 Revised:2014-12-29 Online:2015-01-30 Published:2015-01-04

Abstract: Most digital cameras use a single sensor to capture only one component among the three colors (RGB) for each pixel, together with a color filter array (CFA) interpolating the other two after data acquisition. In this work, spectral correlation introduced by inter-channel CFA interpolation is exploited to realize image authentication. By analyzing differences in the frequency spectrum between inter-channel interpolated images and the natural ones, we extract forensics features from the high frequency areas of the green-red spectral difference. After re-interpolating the test image, we detect tampered images according to changes in the forensic features. Experimental results demonstrate effectiveness in forgery detection and robustness to JPEG compression.

Key words:  forgery detection, image forensics, CFA interpolation, inter-channel correlation

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