文章摘要
基于结构张量的图像内容自适应隐写方法研究
Image content adaptive steganography based on structural tensor
投稿时间:2020-05-30  修订日期:2020-05-30
DOI:
中文关键词: 信息隐藏  结构张量  富模型  安全性
英文关键词: information hiding  structural tensor  rich model  security
基金项目:教育部人文社会科学研究青年基金项目(15YJCZH119)
作者单位E-mail
莫佳 华东交通大学信息工程学院 moorechia@163.com 
蔡体健 华东交通大学信息工程学院 136510496@qq.com 
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中文摘要:
      准确捕获图像的内容是影响自适应隐写算法性能的关键之一。以偏微分方程为工具,提出基于结构张量的图像自适应隐写算法。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。实验结果表明,运用所提算法,可以有效增加峰值信噪比,提升不可检测性,具有较好的隐写性能。
英文摘要:
      Accurately capturing the content of the image is one of the keys to the performance of the adaptive steganography algorithm. 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 results show that the proposed algorithm can effectively increase the peak signal-to-noise ratio and improve the undetectability with better steganographic performance.
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