Abstract
A blind digital image forensic method for detecting copy-paste forgery between JPEG images was proposed. Two copy-paste tampering scenarios were introduced at first: the tampered image was saved in an uncompressed format or in a JPEG compressed format. Then the proposed detection method was analyzed and simulated for all the cases of the two tampering scenarios. The tampered region is detected by computing the averaged sum of absolute difference (ASAD) images between the examined image and a resaved JPEG compressed image at different quality factors. The experimental results show the advantages of the proposed method: capability of detecting small and/or multiple tampered regions, simple computation, and hence fast speed in processing.
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Foundation item: Project(61172184) supported by the National Natural Science Foundation of China; Project(200902482) supported by China Postdoctoral Science Foundation Specially Funded Project; Project(12JJ6062) supported by the Natural Science Foundation of Hunan Province, China
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Li, Xh., Zhao, Yq., Liao, M. et al. Passive detection of copy-paste forgery between JPEG images. J. Cent. South Univ. 19, 2839–2851 (2012). https://doi.org/10.1007/s11771-012-1350-5
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DOI: https://doi.org/10.1007/s11771-012-1350-5