块结构chi-(p,q)隐写分析方法

S. Agaian, J. P. Pérez
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引用次数: 4

摘要

本文提出了一种利用参数chi-(p,q)统计决策隐进检测技术的新方法。该方法既可以检测随机嵌入的敏感数据,也可以检测顺序嵌入的敏感数据。计算机仿真结果表明,该算法具有以下优点:1)能够定位隐藏信息的集中点;2)能够比现有方法更快地执行检测;3)能够使用考虑相邻块之间相关性的可调块结构方法检测图像。并与现有常见的隐写分析方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Block structure chi-(p,q) steganalysis method
In this paper we propose a new approach using a parametric chi-(p,q) statistical decision stego detection technique. The new approach can detect both randomly and sequentially embedded sensitive data. Computer simulations have shown that the presented algorithm has the following advantages: 1) Ability to localize concentrations of hidden information; 2) Ability to perform detection faster than existing methods; 3) Ability to detect images using an adjustable block structure method that takes into account the correlation between adjacent blocks. Comparison with common existing steganalysis methods will also be presented.
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