Detecting doubly compressed JPEG images by using Mode Based First Digit Features
Detecting doubly compressed JPEG images by using Mode Based First Digit Features
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DOI：
10.1109/mmsp.2008.4665171
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发表时间：
2008-11
期刊：
影响因子：
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通讯作者：
Bin Li;Y. Shi;Jiwu Huang
中科院分区：
文献类型：
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作者：
Bin Li;Y. Shi;Jiwu Huang
在本文中，我们利用量化的DCT（离散余弦变换）系数的第一位数的概率从个别交流（交流）模式检测双重压缩JPEG图像。我们提出的功能，命名为基于模式的第一位特征（MBFDF），已被证明优于所有以前的方法区分双压缩JPEG图像从单压缩JPEG图像。此外，MBFDF与多类分类策略相结合，可以用来识别在初级JPEG压缩的质量因子，从而成功地揭示了一个给定的JPEG图像的双重JPEG压缩历史。
In this paper, we utilize the probabilities of the first digits of quantized DCT (discrete cosine transform) coefficients from individual AC (alternate current) modes to detect doubly compressed JPEG images. Our proposed features, named by mode based first digit features (MBFDF), have been shown to outperform all previous methods on discriminating doubly compressed JPEG images from singly compressed JPEG images. Furthermore, combining the MBFDF with a multi-class classification strategy can be exploited to identify the quality factor in the primary JPEG compression, thus successfully revealing the double JPEG compression history of a given JPEG image.