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Diversity-based Cascade Filters for JPEG Steganalysis
IEEE Transactions on Circuits and Systems for Video Technology ( IF 8.4 ) Pub Date : 2020-02-01 , DOI: 10.1109/tcsvt.2019.2891778
Guorui Feng , Xinpeng Zhang , Yanli Ren , Zhenxing Qian , Sheng Li

Steganalysis is a technique for detecting the existence of secret information hidden in digital media. In this paper, we propose a novel scheme for JPEG steganalysis. In this scheme, we first design the diverse base filters which are able to obtain the image residuals from various directions. Then, we propose a cascade filter generation strategy to construct a set of high order cascade filters from the base filters. We further select the cascade filters with the maximum diversity. The selected filters are convolved with the decompressed JPEG image to obtain residuals which capture the subtle embedding traces. The residuals, termed as the maximum diversity cascade filter residual, are eventually used to extract features to train an ensemble classifier for classification. The experiments are carried out on the detection of stego-images generated using common JPEG steganographic schemes, the results of which demonstrate the effectiveness of the proposed scheme for JPEG steganalysis.

中文翻译:

用于 JPEG 隐写分析的基于多样性的级联过滤器

隐写分析是一种检测隐藏在数字媒体中的秘密信息是否存在的技术。在本文中,我们提出了一种新的 JPEG 隐写分析方案。在这个方案中,我们首先设计了能够从各个方向获取图像残差的不同基础滤波器。然后,我们提出了一种级联滤波器生成策略,以从基本滤波器构建一组高阶级联滤波器。我们进一步选择具有最大多样性的级联滤波器。选定的过滤器与解压缩的 JPEG 图像进行卷积,以获得捕获细微嵌入痕迹的残差。残差,称为最大分集级联滤波器残差,最终用于提取特征以训练集成分类器进行分类。
更新日期:2020-02-01
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