National University of Defense Technology, Hefei, 230037, China; Anhui Key Laboratory of Cyberspace Security Situation Awareness and Evaluation, Hefei, 230037, China.
Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, 974, Taiwan.
Gene Expr Patterns. 2022 Sep;45:119267. doi: 10.1016/j.gep.2022.119267. Epub 2022 Aug 5.
For (k, n)-threshold secret image sharing (SIS) scheme, only k or more than k complete parts can recover the secret information, and the correct image cannot be obtained if the count of shadow images is not enough or the shadow images are damaged. The existing schemes are weak in resisting large-area shadow image tampering. In this paper, we propose a robust secret image sharing scheme resisting to maliciously tampered shadow images by Absolute Moment Block Truncation Coding (AMBTC) and quantization (RSIS-AQ). The secret image is successively compressed in two ways: AMBTC and quantization. The sharing shadow images contain the sharing results of both compressed image from different parts, so that even the shadow images are faced with large-scale area of malicious tampering, the secret image can be recovered with acceptable visual quality. Compared with related works, our scheme can resist larger area of tampering and yield better recovered image visual quality. The experimental results prove the effectiveness of our scheme.
对于（k，n）-门限秘密图像共享（SIS）方案，只有 k 个或更多完整部分才能恢复秘密信息，如果阴影图像的数量不足或阴影图像损坏，则无法获得正确的图像。现有的方案在抵抗大面积的阴影图像篡改方面较弱。本文提出了一种通过绝对矩块截断编码（AMBTC）和量化（RSIS-AQ）抵抗恶意篡改的阴影图像的鲁棒秘密图像共享方案。秘密图像通过两种方式依次压缩：AMBTC 和量化。共享的阴影图像包含来自不同部分的压缩图像的共享结果，因此，即使面对大面积的恶意篡改，也可以恢复具有可接受视觉质量的秘密图像。与相关工作相比，我们的方案可以抵抗更大面积的篡改，并产生更好的恢复图像视觉质量。实验结果证明了我们方案的有效性。
