With the wide use of various image altering tools, digital image manipulation becomes\nvery convenient and easy, which makes the detection of image originality and authenticity significant.\nAmong various image tampering detection tools, double JPEG image compression detector, which\nis not sensitive to specific image tampering operation, has received large attention. In this paper,\nwe propose an improved double JPEG compression detection method based on noise-free DCT\n(Discrete Cosine Transform) coefficients mixture histogram model. Specifically, we first extract the\nblock-wise DCT coefficients histogram and eliminate the quantization noise which introduced by\nrounding and truncation operations. Then, for each DCT frequency, a posterior probability can\nbe obtained by solving the DCT coefficients mixture histogram with a simplified model. Finally,\nthe probabilities from all the DCT frequencies are accumulated to give the posterior probability\nof a DCT block being authentic or tampered. Extensive experimental results in both quantitative\nand qualitative terms prove the superiority of our proposed method when compared with the\nstate-of-the-art methods.
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