基于拓展广义整数变换的无损信息隐藏方法

Expanded Generalized Integer Transform Based Lossless Informaiton Hiding Method

为使用于无损信息隐藏的广义整数变换更具普遍意义并提高数据嵌入容量,该文在对广义整数变换进行拓展的基础上提出一种图像无损信息隐藏新方法。该方法通过对广义整数变换引入可变参数m进行拓展,可在n个像素点组成的图像块中嵌入m(n-1)bit数据,m>1时提高了数据嵌入容量,方法还采用一种新的数据嵌入策略提高了隐藏图像质量。与现有整数变换算法相比,该文算法在数据嵌入容量和隐藏图像质量上有一定的提升。该方法可用于对图像质量要求较高的军事通信、医学保健和法律论证等领域,在提取嵌入的机密信息后,原宿主图像可无失真恢复。

To make the generalized interger transform used for lossless information hiding more generalized and improve the data embedded capacity, a new lossless information hiding method based on expanded generalized integer transform is proposed for image. By introducing the variable parameter m and expanding the generalized integer transform, m（n-1） bit data can be embedded into one image block with n pixels, improving the embedded capacity when m 1. Besides, 5 the method uses a new data embedding strategy to improve the quality of the hidded image. Compared with current integer transform algorithms, there is a certain improvement in the embedded capacity and the quality of hidded image with the proposed algorithm. The proposed method can be used to some important and sensitive areas, i.e. military comunication, healthcare, and law-enforcement, after extracted the embedded secret data, the cover image can be recovered losslessly.