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采用相邻像素预测的可逆信息隐藏算法
引用本文:李亚翔,张显全,俞春强,唐振军.采用相邻像素预测的可逆信息隐藏算法[J].华侨大学学报(自然科学版),2020,41(2):223-229.
作者姓名:李亚翔  张显全  俞春强  唐振军
作者单位:1. 广西师范大学 计算机科学与信息工程学院, 广西 桂林 541004;2. 广西师范大学 广西多源信息挖掘与安全重点实验室, 广西 桂林 541004;3. 桂林电子科技大学 广西高校云计算与复杂系统重点实验室, 广西 桂林 541004
基金项目:广西自然科学基金;工程学院创新项目;国家自然科学基金
摘    要:为了提高图像信息隐藏算法的信息嵌入容量和载密图像的保真度,提出一种采用相邻像素预测的可逆信息隐藏算法.构建局部线性预测模型,以待预测像素的3个相邻像素为目标像素,通过目标像素的相邻像素建立线性方程组,求解预测模型参数.应用预测模型进行预测,计算预测误差,绘制预测误差直方图,通过直方图平移实现可逆信息隐藏.实验结果表明:文中算法可通过较少的预测像素进行预测,比其他算法具有更高的预测精度和更大的信息嵌入容量.

关 键 词:可逆信息隐藏  相邻像素  预测误差  局部线性预测

Reversible Data Hiding Algorithm Using Adjacent Pixels Prediction
LI Yaxiang,ZHANG Xianquan,,' target="_blank" rel="external">,YU Chunqiang,TANG Zhenjun,' target="_blank" rel="external">.Reversible Data Hiding Algorithm Using Adjacent Pixels Prediction[J].Journal of Huaqiao University(Natural Science),2020,41(2):223-229.
Authors:LI Yaxiang  ZHANG Xianquan    " target="_blank">' target="_blank" rel="external">  YU Chunqiang  TANG Zhenjun  " target="_blank">' target="_blank" rel="external">
Institution:1. College of Computer Science and Information Engineering, Guangxi Normal University, Guilin 541004, China; 2. Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin 541004, China; 3. Guangxi Colleges and Unive
Abstract:In order to improve the data embedding capacity of the image data hiding algorithm and the fidelity of the masked image, this paper propose a reversible data hiding algorithm based on adjacent pixels prediction. Building local linear prediction model and taking the three adjacent predicted pixels as the target pixel, the linear equations are established with the adjacent pixels of the target pixel, and the parameters of the prediction model are solved. Using the prediction model to predict, calculate prediction error and plot prediction error histograms, then implement reversible date hiding algorithm by histogram shift. The experimental results show that the proposed algorithm in this paper can predict with fewer prediction pixels, and has higher prediction accuracy and larger data embedding capacity than that of other algorithms.
Keywords:reversible data hiding  adjacent pixels  prediction error  local linear prediction
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