基于灰关联的自适应灰度图像信息隐藏算法

An Adaptive Grey Image Information Hiding Algorithm Based on Grey Relational Theory

以灰关联理论和小波变换为基础,提出一种具有良好透明性和鲁棒性的信息隐藏算法。使用自定义压缩方法对预嵌入的水印灰度图像进行压缩后置乱编码。根据灰关联度的大小在载体图像的小波变换域中选取相对非平滑区作为秘密信息隐藏的区域。对区域进行DCT变换后尽量选取中高频系数中绝对值大的系数作为秘密信息嵌入位。根据小波域的人眼视觉掩蔽特性确定嵌入的强度。实验表明,文中算法具有比较好的透明性,而且能够对一些常见的攻击如噪声、几何剪切、JPEG压缩、滤波等均具有较好的鲁棒性。

Based on grey relational theory and wavelet transformation, an information hiding algorithm of good transparency and robustness is proposed. Firstly the paper compresses the grey watermark image using self- defined method and scrambles and encodes it. Then it chooses blocks in the wavelet domain of the cover image according to the grey relational coefficients as the embedding districts. Based on visual masking in DWT domain it makes sure the intensity of embedded information. The experiment results show that the algorithm is not only invisible, but also robust against various attacks such as noise adding, cropping, JPEG compression, and filtering.