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基于多层次插值预测和全局排序的彩色图像可逆信息隐藏
作者:
作者单位:

南京信息工程大学计算机学院

基金项目:

国家自然科学基金项目（面上项目，重点项目，重大项目）


Reversible color image data hiding based on multi-level interpolation prediction and global sorting
Author:
Affiliation:

School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing Jiangsu

Fund Project:

National Natural Science Foundation of China

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    摘要:

    为了有效解决现有彩色图像可逆数据隐藏(Reversible Data Hiding, RDH)算法中隐写图像视觉质量低的问题,提出了一种多层次插值预测和全局排序的彩色图像RDH方案。首先,为了充分利用图像中不同纹理区域的特征,设计一种多层次插值预测算法,显著地提升了像素的预测精度。然后,设计了一种基于复杂度的全局排序策略,分别对彩色图像三个通道中的预测误差进行排序,充分利用了每个通道中预测误差的全局特征,生成了分布更加集中的三维预测误差直方图(Three-Dimensional Prediction Error Histogram, 3D PEH)；最后,利用自适应三维映射策略修改误差直方图,嵌入秘密数据。实验结果表明,与最新的一些方案相比,所提的方法实现了更好的嵌入性能。

    Abstract:

    To effectively solve the problem of low visual quality of stego-image in existing color image Reversible Data Hiding (RDH) algorithm, a novel RDH scheme based on multi-level interpolation prediction and global sorting is proposed. Firstly, to make full use of the features of different texture regions in the image, a multi-level interpolation prediction algorithm is designed to significantly improve the prediction accuracy of pixels. Then, a global sorting strategy based on complexity is designed to sort the prediction errors in the three channels of color images respectively, making full use of the global characteristics of the prediction errors in each channel. A more concentrated Three-Dimensional Prediction Error Histogram (3D PEH) is generated. Finally, the adaptive 3D mapping strategy is used to modify the error histogram and embed the secret data. Experimental results show that the proposed method achieves better embedding performance compared with the latest schemes.

    参考文献
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任前龙,熊礼治.基于多层次插值预测和全局排序的彩色图像可逆信息隐藏[J].南京信息工程大学学报,,():

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  • 收稿日期:2024-02-29
  • 最后修改日期:2024-03-06
  • 录用日期:2024-03-07

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