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Chinese Remainder Theorem-Based Secret Image Sharing with Small-Sized Shadow Images

机译:基于中国剩余定理的秘密图像与小尺寸阴影图像的共享

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Secret image sharing (SIS) with small-sized shadow images has many benefits, such as saving storage space, improving transmission time, and achieving information hiding. When adjacent pixel values in an image are similar to each other, the secret image will be leaked when all random factors of an SIS scheme are utilized for achieving small sizes of shadow images. Most of the studies in this area suffer from an inevitable problem: auxiliary encryption is crucial in ensuring the security of those schemes. In this paper, an SIS scheme with small-sized shadow images based on the Chinese remainder theorem (CRT) is proposed. The size of shadow images can be reduced to nearly 1 / k of the original secret image. By adding random bits to binary representations of the random factors in the CRT, auxiliary encryption is not necessary for this scheme. Additionally, reasonable modifications of the random factors make it possible to incorporate all advantages of the CRT as well, including a ( k , n ) threshold, lossless recovery, and low computation complexity. Analyses and experiments are provided to demonstrate the effectiveness of the proposed scheme.
机译:与小尺寸阴影图像的秘密图像共享(SIS)具有许多优点,例如节省存储空间,缩短传输时间并实现信息隐藏。当图像中的相邻像素值彼此相似时,当使用SIS方案的所有随机因子来实现小尺寸阴影图像时,秘密图像将泄漏。该领域的大多数研究都存在一个不可避免的问题:辅助加密对于确保这些方案的安全性至关重要。本文提出了一种基于中文余数定理(CRT)的带有小阴影图像的SIS方案。阴影图像的大小可以减小到原始秘密图像的近1 / k。通过将随机位添加到CRT中随机因子的二进制表示中,此方案不需要辅助加密。另外,对随机因素的合理修改也使CRT的所有优点都得以融合,包括(k,n)阈值,无损恢复和低计算复杂度。提供分析和实验以证明所提出的方案的有效性。

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