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Journal of Applied Sciences >

2015 , Vol. 33 >Issue 1: 87 - 94

DOI: https://doi.org/10.3969/j.issn.0255-8297.2015.01.010

Signal and Information Processing

Forgery Detection via Inter-channel Correlation of CFA Images

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  • School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China

Received date: 2014-12-02

  Revised date: 2014-12-29

  Online published: 2015-01-04

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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

Cite this article

ZHANG Xiao-lin, FANG Zhen, ZHANG Xin-peng . Forgery Detection via Inter-channel Correlation of CFA Images[J]. Journal of Applied Sciences, 2015 , 33(1) : 87 -94 . DOI: 10.3969/j.issn.0255-8297.2015.01.010

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