同步最小化统计可检测的侧面通知JPEG隐写

Quentin Giboulot, P. Bas, R. Cogranne
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引用次数: 9

摘要

当前依赖于同步的隐写术方案都是基于一个通用的启发式来考虑嵌入变化之间的相互作用。然而,这些方法虽然经常具有竞争性,但缺乏像素/DCT系数与失真函数之间关系的清晰模型,因此,在可检测性方面不能提供任何保证。为了解决这一问题,本文提出了一种基于最小化统计可检测性的JPEG域同步侧通知方案,该方案达到了最先进的性能。这是通过利用一个统计模型来实现的,该模型考虑了DCT系数之间的相关性,并添加了一个带有协方差的最佳隐写信号,协方差是覆盖噪声协方差的缩放版本。这种方法可以让我们清楚地理解,根据处理管道的不同,使用块内和块间依赖项的同步可以提高性能的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synchronization Minimizing Statistical Detectability for Side-Informed JPEG Steganography
Current schemes in steganography relying on synchronization are all based on a general heuristic to take into account interactions between embedding changes. However these approaches, while often competitive, lack a clear model for the relationship between pixels/DCT coefficient and the distortion function, and, as such, do not give any guarantees in terms of detectabilty. To solve this problem, we herein propose a synchronized side-informed scheme in the JPEG domain based on minimizing statistical detectability which achieves state-of-the- art performances. This is done by exploiting a statistical model that takes into account correlations between DCT coefficients and adding an optimal steganographic-signal with covariance which is a scaled version of the cover noise covariance. This method allows a clear understanding of the reasons why, depending on the processing pipeline, synchronization using both intra and inter-block dependencies allows such gains in performance.
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