Abstract
Digital images are easily forged due to the availability of powerful imaging hardware and image editing software. Copy-move and splicing are the most common type of image forgeries and various post-processing operations including geometric transformation (resizing and rotation) are employed by the attacker to conceal the visual traces of doctoring operations. In this brief paper, a blind algorithm is proposed to detect global rescaling operations and estimate the rescale factors using reciprocal singular value coefficients. Experimental results show the effectiveness of the algorithm under different rescale factors.
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