基于风格迁移过程的彩色图像信息隐藏算法

Color image information hiding algorithm based on style transfer process

针对基于神经风格迁移的信息隐藏算法没有解决彩色图像的嵌入这一问题,提出了一种基于风格迁移过程的彩色图像信息隐藏算法。首先,利用卷积神经网络(CNN)特征提取的优势,分别提取载体图像的语义信息、风格图像的风格信息以及彩色图像的特征信息;然后,将图像的语义内容和不同风格融合在一起;最后,在通过解码器对载体图像进行风格迁移的同时完成彩色图像的嵌入。实验结果表明,所提算法可以将秘密图像有效融入到生成的风格化图像中,使得秘密信息嵌入行为与风格变换的行为不可区分,在保持算法安全性的前提下,所提算法的隐藏容量提高到24 bpp,峰值信噪比(PSNR)和结构相似性(SSIM)的平均值分别达到了25.29 dB和0.85,有效解决了彩色图像的嵌入问题。

To solve the problem that information hiding algorithms based on neural style transfer do not solve the embedding problem of color images,a color image information hiding algorithm based on style transfer process was proposed.Firstly,the advantages of feature extraction of Convolutional Neural Network(CNN)were utilized to extract the semantic information of the carrier image,the style information of the style image and the feature information of the color image,respectively.Then,the semantic content of images and different styles were fused together.Finally the embedding of color image was completed while performing the style transfer of the carrier image through the decoder.Experimental results show that the proposed algorithm can integrate the secret image into the generated stylized image effectively,making the secret information embedding behavior indistinguishable from the style change behavior.Under the premise of maintaining the security of the algorithm,the proposed algorithm has the hiding capacity increased to 24 bpp,and the average values of Peak Signal-to-Noise Ratio(PSNR)and Structural SIMilarity(SSIM)reached 25.29 dB and 0.85 respectively,thereby solving the color image embedding problem effectively.