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RNS-BASED EMBEDDING SCHEME FOR DATA HIDING IN DIGITAL IMAGES

机译:基于RNS的嵌入方案,用于数据隐藏在数字图像中的数据

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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:在本文中,提出了基于残留的数据嵌入方案,将秘密信息和图像覆盖转换为残留物。由于残余物代表人眼不敏感的连续色调图像的最低水平,因此覆盖物的残余物可以被认为是冗余,其被嵌入式的残余数据所取代而不引入可察觉的失真。此外,它还提供了一组模数的额外安全性。仿真结果表明,所提出的技术达到比其他最先进的技术更高的难以忍受性和有效载荷。特别是,与最低有效位(LSB)嵌入技术相比,盖子的成本降低了90.62%,难以察觉率增加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的无损数据恢复的潜在能力。

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