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熊祥光, 曹永锋, 欧卫华, 刘彬, 韦立, 李伟岸. 采用插值和排序的大容量可逆数据隐藏算法[J]. 计算机辅助设计与图形学学报, 2018, 30(10): 1954-1965. DOI: 10.3724/SP.J.1089.2018.16814
引用本文: 熊祥光, 曹永锋, 欧卫华, 刘彬, 韦立, 李伟岸. 采用插值和排序的大容量可逆数据隐藏算法[J]. 计算机辅助设计与图形学学报, 2018, 30(10): 1954-1965. DOI: 10.3724/SP.J.1089.2018.16814
Xiong Xiangguang, Cao Yongfeng, Ou Weihua, Liu Bin, Wei Li, Li Weian. High Capacity Reversible Data Hiding Algorithm Using Interpolation and Sorting[J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(10): 1954-1965. DOI: 10.3724/SP.J.1089.2018.16814
Citation: Xiong Xiangguang, Cao Yongfeng, Ou Weihua, Liu Bin, Wei Li, Li Weian. High Capacity Reversible Data Hiding Algorithm Using Interpolation and Sorting[J]. Journal of Computer-Aided Design & Computer Graphics, 2018, 30(10): 1954-1965. DOI: 10.3724/SP.J.1089.2018.16814

采用插值和排序的大容量可逆数据隐藏算法

High Capacity Reversible Data Hiding Algorithm Using Interpolation and Sorting

  • 摘要: 针对现有基于图像插值可逆数据隐藏算法的隐藏容量和隐秘图像质量问题,提出一种采用插值和排序的大容量图像可逆数据隐藏算法.首先提出一种改进的图像插值算法,提高了插值图像的质量;然后对插值图像进行重叠分块,采用优先选择方差较小的分块、自适应地计算各个非基准像素能隐藏的最大数据量和自适应的秘密数据隐藏3种策略来隐藏秘密数据,解决了隐秘图像像素溢出问题并提高了隐藏容量及隐秘图像质量.在Kodaklossless true color image suite, uncompressed color image database, McMaster dataset和USC-SIPI image database这4个图像集上进行实验,并将文中算法与相似的4种算法进行对比,结果表明,该算法的隐藏容量分别提升了约113.16%,27.69%, 188.53%和4.08%,且在相同的隐藏容量条件下也具有更好的图像质量.

     

    Abstract: For the hiding capacity and image quality of reversible data hiding algorithm based on image interpolation,a high capacity image reversible data hiding algorithm using interpolation and sorting is proposed.Firstly,in order to enhance the quality of the interpolated image,an improved image interpolation method was proposed.Then,the interpolated image is overlapped blocks.The secret data was hidden by using three strategies.First select the block with the smaller variance,then the maximum amount of secret data that can be hidden by each non-reference pixel was adaptively calculated,and last adaptive secret data hiding method,which solved the overflow problem of hidden image and enhanced the hidden capacity and the quality of the hidden image.The proposed algorithm was evaluated on four benchmark image databases consisted of Kodak lossless true color image suite,uncompressed color image database,McMaster dataset and USC-SIPI image database.Compared with four similar algorithms,the results demonstrate that the hidden capacity of the proposed algorithm is improved respectively by 113.16%,27.69%,188.53%and 4.08%,and it has better image quality under the same hidden capacity condition.

     

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