Currently, many forensic techniques have been developed to determine which processing operations were used to tamper multimedia contents. Determining the order of these operations, however, remains an open challenge. It is important to detect image operation order, because we can obtain the complete processing history of multimedia content, and even identify who manipulated the multimedia content and when it was manipulated. In this paper, we investigate the detection for the order of contrast enhancement and resizing. Two new algorithms are proposed to detect contrast enhancement and resizing respectively. We use the SVM to extract fingerprint of digital images and then detect the image operation of resizing and contrast enhancement. Experimental results show that the average classification accuracy of the proposed method is 88.97%.
CITATION STYLE
Gao, S., Liao, X., Guo, S., Li, X., & Vijayakumar, P. (2017). Forensic detection for image operation order: Resizing and contrast enhancement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10658 LNCS, pp. 570–580). Springer Verlag. https://doi.org/10.1007/978-3-319-72395-2_52
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