葛昊立, 陈妍, 王建军. 基于通道线性回归与二维多级预测误差直方图平移的彩色图像可逆数据隐藏[J]. 微电子学与计算机, 2018, 35(5): 61-68.
引用本文: 葛昊立, 陈妍, 王建军. 基于通道线性回归与二维多级预测误差直方图平移的彩色图像可逆数据隐藏[J]. 微电子学与计算机, 2018, 35(5): 61-68.
GE Hao-li, CHEN Yan, WANG Jian-jun. Reversible Data Hiding in Color Image Based on Channel Linear Regression and Two-dimensional Multiple Prediction Error Histogram Shifting[J]. Microelectronics & Computer, 2018, 35(5): 61-68.
Citation: GE Hao-li, CHEN Yan, WANG Jian-jun. Reversible Data Hiding in Color Image Based on Channel Linear Regression and Two-dimensional Multiple Prediction Error Histogram Shifting[J]. Microelectronics & Computer, 2018, 35(5): 61-68.

基于通道线性回归与二维多级预测误差直方图平移的彩色图像可逆数据隐藏

Reversible Data Hiding in Color Image Based on Channel Linear Regression and Two-dimensional Multiple Prediction Error Histogram Shifting

  • 摘要: 提出使用通道线性回归来估计当前像素并生成预测误差直方图, 然后按照像素的局部空间复杂性使用二维直方图平移嵌入隐秘信息.在接收端, 按照和嵌入时完全相反的顺序操作图像, 可以在提取出嵌入信息的同时恢复原图像.实验结果表明, 与现有的方法相比, 相同嵌入容量下本文的算法具有更高的峰值信噪比.

     

    Abstract: we propose to generate prediction error histograms using channel linear regression.Then, we embed secret bits using two-dimensional histogram shifting in the order of local space complexity of pixels.At the receiver side, similar processes are applied and additional data is extracted in reverse order to ensure reversibility.The experimental results show that the proposed method achieves better visual quality in terms of PSNR under the same embedding capacity compared to existing methods.

     

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