Automated Image Forgery Detection through Classification of JPEG Ghosts
نویسندگان
چکیده
We present a method for automating the detection of the socalled JPEG ghosts. JPEG ghosts can be used for discriminating singleand double JPEG compression, which is a common cue for image manipulation detection. The JPEG ghost scheme is particularly well-suited for non-technical experts, but the manual search for such ghosts can be both tedious and error-prone. In this paper, we propose a method that automatically and efficiently discriminates singleand double-compressed regions based on the JPEG ghost principle. Experiments show that the detection results are highly competitive with state-of-the-art methods, for both, aligned and shifted JPEG grids in double-JPEG compression.
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