Secure Quantization Based Data Embedding

Ning Liu, Palak K. Amin, K.P. Subbalakshmi
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引用次数: 2

Abstract

In this paper we propose a new secure quantization based data embedding algorithm and analyze the security, capacity, robustness and embedding induced distortion of this scheme. Using a joint security, robustness and capacity measure, we show that the proposed scheme provides an enhancement in security in comparison to current secure quantization based data hiding schemes. We derive a mathematic expression for the security of our algorithm. Using this metric, we show that the security of our algorithm can be increased independent of these parameters: capacity, robustness and embedding induced distortion. The maximum security depends only on the length of key sequence, which is limited only by the size of the host image
基于安全量化的数据嵌入
本文提出了一种新的基于安全量化的数据嵌入算法,并对该算法的安全性、容量、鲁棒性和嵌入诱导失真进行了分析。使用联合安全性、鲁棒性和容量度量,我们表明与当前基于安全量化的数据隐藏方案相比,所提出的方案提供了安全性的增强。我们推导出算法安全性的数学表达式。使用这个度量,我们证明了我们的算法的安全性可以独立于这些参数:容量,鲁棒性和嵌入诱导失真。最大安全性仅取决于密钥序列的长度,它仅受主机映像大小的限制
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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