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出 处:《计算机工程与应用》2005年第28期37-40,共4页Computer Engineering and Applications
基 金:国家自然科学基金资助项目(编号:60473022)
摘 要:文章提出了一种基于二维Arnold变换与改进LSB嵌入方案的图像信息伪装算法,在对图像进行二维Arnold变换的基础上,采用改进的LSB嵌入方案嵌入数据,提取时只需提取Arnold变换图像的LSB即可。该算法结合了图像置乱技术和改进的LSB嵌入方案,对嵌入的数据形成了双层保护。实验结果表明,该算法的数据嵌入量及失真度与传统的LSB嵌入方式一致,同时能够有效地抵抗RS(RegularSingular)和SPA(SamplePairAnalysis)隐写分析,并保持了图像的直方图统计特征,此外,该方法适用于灰度图像和彩色图像,易于实现。This paper presents an image steganography algorithm,which is based on tow-dimensional Arnold transform and modified LSB embedding.In the foundation of scrambling image by Arnold transform,message is embedded by modified LSB embedding.The embedded message can be extracted from LSBs of transformed image.The presented steganography approach combines image scrambling technology and modified LSB embedding and provides double protection for the embedded message.Experimental results show that the proposed approach has the same embedding capacity and induced distortion to the host image with the traditional LSB replacement scheme.Meanwhile,it is undetectable by RS(Regular Singular) analysis and SPA(Sample Pair Analysis) analysis and the histogram's statistical property is preserved well. Otherwise, it is applicable for both gray images and color images and can be implemented conveniently.
关 键 词:信息伪装 隐写分析 图像置乱 AMOLD变换 改进LSB(最低有效位)嵌入
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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