基于整数小波变换域和增量法的心电图自适应数据隐藏

Ching-Yu Yang, Wen-Fong Wang, Chi-Ming Lai
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引用次数: 1

摘要

该方法基于整数小波变换域,采用增量式位嵌入和位提取技术。根据预先设定的准则,数据位可以自适应地隐藏到心电信号的主束中。仿真结果表明,该方法具有比现有方法更好的鲁棒性,并且比特嵌入/提取过程比现有方法简单得多。此外,该方法的平均信噪比(SNR)和有效载荷与现有技术相比具有竞争力。也就是说,我们的方法具有高隐藏能力和抗裁剪、反演、缩放、平移、截断和高斯噪声添加攻击等攻击的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Data-hiding in Electrocardiogram Based on Integer Wavelet Transform Domain and Incremental Approach
Based on integer wavelet transform domain, an incremental bit-embedding and bit-extraction technique was employed in the proposed method. According to the predetermined criterion, data bits can be adaptively hidden into the host bundles of in an electrocardiogram (ECG) signal. Simulations revealed that the proposed method provides robustness performance better than existing techniques, while our bit-embedding/extraction procedures are much simpler than theirs. In addition, the average signal-to-noise ratio (SNR) and payload of the proposed method are competitive to that of existing techniques. Namely, our method has the merits of high hiding capacity and robust against the attacks such as cropping, inversion, scaling, translation, truncation, and Gaussian noise-addition attacks.
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