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Resampling Tamper Detection Based on JPEG Double Compression

机译:基于JPEG双重压缩的重采样篡改检测

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JPEG compression and resampling operations appear frequently in the forgery image, so the traces of these two operations are used to detect the tamper of images. As JPEG compression and resampling operations affect the linear correlation in coefficients, so the traces of JPEG compression and the linear correlation are introduced when images are resampled and saved in JPEG format. Hence, the moment of DCT coefficient histogram are taken as the factor of JPEG compression, and due to the singular value decomposition can measure linear correlation between pixels well so that the mean value and variance of the singular values are extracted. At last, two types of features are extracted and trained by SVM. Experimental results show that proposed method has a good detection rate for resampling compression images, especially for the rotation operation and the scale factor which greater than 1.
机译:JPEG压缩和重采样操作经常出现在伪造图像中,因此这两个操作的痕迹用于检测图像的篡改。由于JPEG压缩和重采样操作会影响系数的线性相关性,因此在对图像进行重新采样并以JPEG格式保存时会引入JPEG压缩和线性相关性的痕迹。因此,将DCT系数直方图的矩作为JPEG压缩的因素,并且由于奇异值分解可以很好地测量像素之间的线性相关性,从而提取出奇异值的平均值和方差。最后,SVM提取并训练了两种类型的特征。实验结果表明,该方法对压缩图像的重采样具有良好的检测率,特别是对于旋转操作和比例因子大于1的情况。

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