基于复小波变换和自适应像素聚类的图像信息隐藏  

Information hiding method for images based on complex wavelet transform and adaptive pixels clustering

作　　者：刘钟涛 刘明利 LIU Zhongtao;LIU Mingli(Modern Educational Technology Center,Henan University of Economics and Law,Zhengzhou 450046,China)

机构地区：[1]河南财经政法大学现代教育技术中心,河南郑州450046

出　　处：《光学技术》2021年第3期372-378,共7页Optical Technique

基　　金：河南科技攻关项目(18210221022)。

摘　　要：针对大多数图像信息隐藏技术需要先验信息及训练难度大的问题,提出一种基于复小波变换和自适应像素聚类的图像信息隐藏方法。方法利用新型的无监督种群优化算法对秘密图像进行自适应的像素聚类处理,采用支持向量机选择载体图像双树复小波变换的最优小波子带,将最优小波子带作为信息隐藏的载体以保证信息隐藏的不可感知性。实验结果表明方法具有较强的不可感知性,能够抵抗隐写分析模型的入侵,在信息隐藏过程中不需要原载体图像和秘密信息的先验知识,属于全盲信息隐藏方法。Aiming at the problem that the most of image information hiding techniques need prior information and the difficulty of training, one information hiding method for images based on complex wavelet transform and adaptive pixels clustering is proposed. A new unsupervised population based optimization algorithm is utilized by the proposed method to cluster the pixels of secret image adaptively, then the support vector machine is adopted to select the optimal wavlet sub band of dual-tree complex wavelet transform of the carrier image, in order to maintain the imperceptibility of hidden information, the method treats the optimal wavlet sub band as carrier for hidden information. Experimental results show that the method realizes strong imperceptibility, and it not only has strong ability in resisting intrusions of steganalysis models, but also does not need any prior knowledge of the original carrier image and secret information during the information hiding process. It is a bind information hiding method.

关 键 词：信息隐藏 复小波变换 像素聚类 载体图像 隐写分析 秘密信息 支持向量机 最优小波 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术] TH691.9[自动化与计算机技术—计算机科学与技术]