利用Gabor小波的空域自适应隐写算法

摘要

为改善利用方向性滤波器获取载体图像纹理区域的性能,进一步提升隐写算法的抗检测能力,将Gabor小波应用到隐写算法中,在WOW算法基础上提出一种空域自适应隐写算法.首先利用Gabor小波构造的方向性滤波器组分别从8个方向对载体图像进行残差权重预测,并以H(o)lder范数形式定义损失函数,然后利用均值滤波器对所得损失函数进行滤波处理得到新的损失函数,最后通过校验格编码按照最终得到的损失函数在载体图像中嵌入秘密信息.抵抗富模型检测实验结果表明,同等水平的信息嵌入率下,所提算法的安全性能优于同类隐写算法.%Aiming at improving the performance of obtaining texture regions by directional filters and achieving better steganography security,a novel adaptive steganographic algorithm is proposed based on WOW algorithm and Gabor wavelet.Firstly,a directional filter bank is established by Gabor wavelet and then the residual weights are determined by this bank from 8 directions.Then the cost function is defined based on H(o)lder norm,and is updated by convolution with an average filter.Finnally,secret messages are embedded by syndrome trellis codes according to the cost function.Experimental results illustrate that the presented steganographic algorithm achieves a better performance on resisting the Spatial Rich Mode steganalysis than that of the same kind of steganographic algorithms under the same secret message payload.