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RNS-Based Embedding Scheme for Data Hiding in Digital Images

机译:基于RNS的数字图像数据隐藏嵌入方案

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摘要

In this paper, a residue number system (RNS)-based data embedding scheme is proposed, which converts secret information and image cover into residues. Since the residues represent the lowest levels of a continuous-tone image that human eyes are not sensitive to, the residues of cover can be considered as redundancy, which are replaced by the embedded residual data without introducing perceptible distortions. In addition, it provides additional security with a set of modulus. Simulation results demonstrate the proposed technique achieves higher imperceptibility and payload than other state-of-the-art techniques. Especially, when compared with the least significant bit (LSB) embedding technology, the cost of cover is reduced by 90.62% and the imperceptibility is increased by 4.87dB. Furthermore, in case of damage, the proposed method has a potential capability of lossless data recovery by the dynamic range adjustment technique.
机译:本文提出了一种基于残差数字系统的数据嵌入方案,该方案将秘密信息和图像覆盖率转换为残差。由于残留物代表了人眼不敏感的连续色调图像的最低级别,因此可以将覆盖物的残留物视为冗余,将其替换为嵌入的残留数据,而不会引入明显的失真。另外,它通过一组模数提供了额外的安全性。仿真结果表明,与其他最新技术相比,该技术具有更高的感知能力和有效载荷。特别是,与最低有效位(LSB)嵌入技术相比,覆盖成本降低了90.62%,隐身性提高了4.87dB。此外,在损坏的情况下,所提出的方法具有通过动态范围调整技术进行无损数据恢复的潜在能力。

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