基于视觉特性及低位替换优化的信息隐藏方法

Information Hiding Algorithm Based on Visual Perception and Optimal LSBs Substitution

提出了一种在图像载体中进行信息隐藏的新方法。该方法利用图像的视觉特性,通过硬c均值聚类分析进行秘密信息嵌入。通过对简单低位替换的优化调整,在图像的隐藏量和图像质量上都有很大的改进。另外,采用基于时空混沌映射置乱技术对载体图像进行置换及反向置换,对秘密信息提供了有效的安全防护手段。实验结果表明,该方法在改善图像质量及视觉隐蔽性上都取得了较好的结果。

This paper presents a method of informalion hiding algorithm based on optimal LSBs substitution and image visual perception. In this method, according to the characteristics of human vision sensitivity, the hard c-means cluster is used to identify the complexity of the cover-image. To improve the quality of embedding result, an optimal pixel adjustment process is applied to the stego-image. The scrambling technology based on spatiotemporal chaos mapping can be used to solve the problem that the hiding algorithm can not provide the way of protecting the secret information. The initial parameters of the spatiotemporal chaos mapping can act as the private keys, which can provide larger key space. Experimental results show the proposed algorithm can make a great improvement in both the imperceptibility and the quality of the cover-image.