Wang Shudong, Lu Yuliang, Yan Xuehu, Li Longlong, Yu Yongqiang
National University of Defense Technology, Hefei 230037, China.
Anhui Key Laboratory of Cyberspace Security Situation Awareness and Evaluation, Hefei 230037, China.
Math Biosci Eng. 2021 Jun 11;18(5):5236-5251. doi: 10.3934/mbe.2021266.
Secret sharing based on Absolute Moment Block Truncation Coding (AMBTC) has been widely studied. However, the management of stego images is inconvenient as they seem indistinguishable. Moreover, there exists a problem of pixel expansion, which requires more storage space and higher transmission bandwidth. To conveniently manage the stego images, we use multiple cover images to make the stego images seem to be visually different from with each other. Futhermore, the stego images are different, which will not cause the attacker's suspicion and increase the security of the scheme. And traditional Visual Secret Sharing (VSS) is fused to eliminate pixel expansion. After images are compressed by AMBTC algorithm, the quantization levels and the bitmap corresponding to each block are obtained. At the same time, when the threshold is (k,k), bitmaps can be recovered losslessly, and the slight degradation of image quality is only caused by the compression itself. When the threshold is another value, the recovered image and the cover images can be recovered with satisfactory image quality. The experimental results and analyses show the effectiveness and advantages of our scheme.
基于绝对矩分块截断编码（AMBTC）的秘密共享已得到广泛研究。然而，隐写图像的管理并不方便，因为它们看起来难以区分。此外，还存在像素扩展问题，这需要更多的存储空间和更高的传输带宽。为了方便地管理隐写图像，我们使用多个掩护图像，使隐写图像在视觉上彼此不同。此外，隐写图像各不相同，这不会引起攻击者的怀疑并提高方案的安全性。并且融合传统视觉秘密共享（VSS）以消除像素扩展。图像经AMBTC算法压缩后，可得到各块对应的量化级别和位图。同时，当阈值为(k,k)时，位图可无损恢复，图像质量的轻微下降仅由压缩本身引起。当阈值为其他值时，恢复的图像和掩护图像能够以令人满意的图像质量恢复。实验结果和分析表明了我们方案的有效性和优势。
