基于彩色图像的分块随机化信息隐藏算法

A New Image - Based Steganography Algorithm of Split Blocks Randomization

研究如何在不降低不可感知性的前提下增大信息隐藏容量,为增加算法的安全性问题。针对信息隐藏性特点和视觉掩蔽效应,在不同的噪声敏感区域可以嵌入不同信息量,结合随机数选择隐藏位的方法,提出了一种基于RGB彩色图像的信息隐藏的方法,称为分块随机化(SBR)信息隐藏算法。算法先把图像分块,再把图像子块分成平滑块与纹理块两种类型,对平滑块潜入小量隐藏信息,对纹理块潜入较多的隐藏信息,隐藏图层和隐藏位数由伪随机数来确定。实验结果与分析表明:算法比其他算法在不降低不可感知性的前提下增大了信息隐藏容量,加强了隐藏位的安全性,比较好的平衡了安全性,并证明是一种可行的算法。

It is an important part of steganography reasearch how to increase the hiding capacity and its security under the guarantee of invisibility.Depending on the characteristic that human vision system has different sensitivity to different noise range,combining the random selection of the hiding position,a new image-based steganography algorithm called split blocks randomization（SBR） algorithm is proposed.It splits the image to small blocks,then classifies the blocks into smooth blocks and texture blocks.Less messages are hided to the small blocks and more messa-ges to the texture blocks.Hidden positions are selected by the random numbers.Experiment and analysis show that the algorithm has large hiding capacity and security under the guarantee of invisibility.It has balanced the relationship of invisibility,security and capacity,and is a workable algorithm.