Multiple Heterogeneous JPEG Image Hierarchical Forensic
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Since image processing software is widely used to tamper or embed data into JPEG images, the forensics of tampered JPEG images now plays a considerable important role. However, most existing forensics methods that use binary classification can hardly deal with multiclass image forensics problems properly under network environments. In this paper, we propose a hierarchical forensics scheme against multiple heterogeneous JPEG images. We introduce a compression identifier based on Markov model of DCT coefficients as the first hierarchical section and then develop a tampering detection and steganalyzer separately as the second phase. We conduct a series of experiments to testify the validity of the proposed method.
KeywordsImage forensics Heterogeneous images Classification
The work is supported by the Foundation for Innovative Research Groups of the NSFC(Grant No. 71421001), NSFC (Grant No. 61172109).
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