SOM和小波对比度在密写中的应用

Steganographic method based on SOM and wavelet contrast

为了提供较大的秘密信息嵌入量和保持较好的载密图像质量,提出了一种基于自组织特征映射神经网络和小波对比度的图像密写。该方法先将载体图像分成固定大小的小块,对每一小块进行小波一级分解后计算小波对比度。然后,利用自组织特征映射神经网络将小块分为三类。最后,采用模算子技术嵌入秘密信息。实验结果表明,与WCL算法相比,该算法有更大的嵌入量并保持了良好的载密图像质量。

To provide larger capacity of the hidden secret data and to maintain a better visual quality of stego-image,a novel steganographic method based on SOM and wavelet contrast is presented.First,an image is divided into blocks,and every block is decomposed into one-level wavelet to obtain the wavelet contrast.Then,classify blocks by SOM.Finally,embed secret information with steganography based on modulus.From the experimental results,compared with WCL,the proposed method hides much more information and maintains a better visual quality of stego-image.