Reversible Data Hiding in Encrypted Images With Secret Sharing and Hybrid Coding

被引:28
|
作者
Yu, Chunqiang [1 ,2 ]
Zhang, Xianquan [1 ,2 ]
Qin, Chuan [3 ]
Tang, Zhenjun [1 ,2 ]
机构
[1] Guangxi Normal Univ, Key Lab Educ Blockchain & Intelligent Technol, Minist Educ, Guilin 541004, Peoples R China
[2] Guangxi Normal Univ, Guangxi Key Lab Multisource Informat Min & Secur, Minist Educ, Guilin 541004, Peoples R China
[3] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China
基金
中国国家自然科学基金;
关键词
Reversible image hiding; iterative encryption; image sharing; high payload; hybrid coding; DIFFERENCE; SCHEME;
D O I
10.1109/TCSVT.2023.3270882
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reversible data hiding in encrypted images (RDHEI) is an essential data security technique. Most RDHEI methods cannot perform well in embedding capacity and security. To address this issue, we propose a new RDHEI method using Chinese remainder theorem-based secret sharing (CRTSS) and hybrid coding. Specifically, a hybrid coding is first proposed for RDH to achieve high embedding capacity. At the content owner side, a novel iterative encryption is designed to conduct block based encryption for perfectly preserving the spatial correlation of original blocks in their encrypted blocks. Then, the CRTSS with the constraints is exploited to generate multiple encrypted image shares, in which spatial correlations of the encrypted blocks are also preserved. Meanwhile, the CRTSS provides good security properties for the proposed method. Since there are strong spatial correlations in the blocks of each share, the data-hider can exploit the proposed hybrid coding to perform data embedding for improving capacity. On the receiver side, even if some shares are corrupted/missing, the original image can be losslessly recovered as long as enough uncorrupted marked shares are obtained. Experiment results show that the proposed RDHEI method outperforms some state-of-the-art methods, including some secret sharing (SS) based methods in terms of embedding capacity.
引用
收藏
页码:6443 / 6458
页数:16
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