In this paper, we introduce tamper detection techniques based on artifacts created by color filter array (CFA) processing in most digital cameras. The techniques are based on computing a single feature and a simple threshold based classifier. The efficacy of the approach was tested over thousands of authentic, tampered, and computer generated images. Experimental results demonstrate reasonably low error rates.
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Dırık et al. (2009) studied this question.