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Reversible Image Secret Sharing
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2020-06-11 , DOI: 10.1109/tifs.2020.3001735 Xuehu Yan , Yuliang Lu , Lintao Liu , Xianhua Song
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2020-06-11 , DOI: 10.1109/tifs.2020.3001735 Xuehu Yan , Yuliang Lu , Lintao Liu , Xianhua Song
In reversible image secret sharing (RISS), the cover image can be recovered to some degree, and a share can be comprehensible rather than noise-like. Reversible cover images play an important role in law enforcement and medical diagnosis. The comprehensible share can not only reduce the suspicion of attackers but also improve the management efficiency of shares. In this paper, we first provide a formal definition of RISS. Then, we propose an RISS algorithm for a $(k,n)$
-threshold based on the principle of the Chinese remainder theorem-based ISS (CRTISS). In the proposed RISS, the secret image is losslessly decoded by a modular operation, and the original cover image is recovered by a binarization operation, both of which are just simple operations. Theoretical analyses and experiments are provided to validate the proposed definition and algorithm.
更新日期：2020-07-21
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