摘要
利用偏微分方程研究基于结构张量的图像自适应隐写算法。首先,采用结构张量分析载体图像区域纹理复杂性、边缘和角点等几何内容,构建多尺度空间的像素隐写适合度,得到隐写位置区域;然后,结合加性原理设计失真函数。通过仿真实验,测试了该方法的不可觉察性和抗检测性。
An image adaptive steganography algorithm with structural tensor is proposed by means of partial differential equations.The structure tensor is used to analyze the geometric contents of the cover image such as the texture complexity,edges,corners and others.Then the pixel steganographic suitability for the multi-scale space is constructed and the steganographic region is located to design the distortion function based on the additive principle.Simulation experiments are carried out to test the imperceptibility and anti-detection of this method.
作者
莫佳
蔡体健
MO Jia;CAI Tijian(School of Information Engineering,East China Jiaotong University,Nanchang 330013,China)
出处
《重庆科技学院学报（自然科学版）》
CAS
2020年第6期75-78,共4页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
教育部人文社会科学研究项目“大数据环境下面向隐私保护的版权管理关键问题研究”(15YJCZH119)
江西省教育科学“十三五”规划项目“信息隐藏框架下本科专业课程科教融合的鲁棒性机制及其实现路径研究”(20YB057)。
关键词
结构张量
信息隐藏
富模型
structural tensor
information hiding
rich model
