CSA  >> Vol. 7 No. 9 (September 2017)

    An Image Tampering Detection Algorithm Based on the Posterior Probability and Color Filter Array Artifacts

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魏金巧,王 英:青岛大学电子信息学院,山东 青岛

后验概率滤色阵列特性高斯混合模型似然率图像篡改检测Posterior Probability Color Filter Array Artifacts Gaussian Mixture Model Likelihood Ratio Image Tempering Detection



Focused on the artifacts between the three primaries of an image introduced by the interpolation algorithm during its acquisition process, an image tampering detection algorithm based on the posterior probability and the color filter array artifacts is proposed. Firstly, the green channel component of the image is extracted, and the two-dimensional predictive filter is used to construct the predictive error function. Then the histograms’ character of original and tampering images is analyzed, and then the Gaussian mixture statistical model is established. EM algorithm is applied to estimate the model parameters. Then the posterior probability of each sub-block as an original block is calculated, and the feature likelihood is defined and it is applied to every sub-block, so that the tampering-area map can be obtained to complete the detection. The simulation results show that the algorithm has strong robustness and can locate the image’s tampered region more accurately.

魏金巧, 王英. 基于后验概率和滤色阵列特性的图像篡改检测算法[J]. 计算机科学与应用, 2017, 7(9): 850-857. https://doi.org/10.12677/CSA.2017.79097


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