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A Novel Image Splicing Forensic Algorithm Based on Generalized DCT Coefficient-Pair Histogram

机译:基于广义DCT对偶直方图的图像拼接取证算法

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摘要

A novel image forensic method based on generalized coefficient-pair histogram in DCT domain was proposed.In the proposed method, firstly, the image is transformed by DCT, and then the differential DCT coefficient matrix of two directions, such as horizontal and vertical direction are computed, the following is to compute the coefficient-pair histogram for each differential DCT coefficient matrix within the given threshold.Finally, support vector machine (SVM) is used to classify the authentic and spliced image through training the feature vectors of authentic and tampered image.The experimental results show that the proposed approach has not only the lower computing complexity;it also outperforms all the state-of-the-art methods in detection rate with the same test database.
机译:提出了一种基于广义系数对直方图的DCT域图像取证方法,该方法首先对图像进行DCT变换,然后分别得到水平和垂直两个方向的差分DCT系数矩阵。计算后,以下是在给定阈值内计算每个差分DCT系数矩阵的系数对直方图。最后,通过训练真实图像和篡改图像的特征向量,使用支持向量机(SVM)对真实图像和拼接图像进行分类。实验结果表明,该方法不仅具有较低的计算复杂度,而且在相同的测试数据库下,其检测率也优于所有最新方法。

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