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Adaptive angle quantization index modulation for robust image watermarking

机译:坚固图像水印的自适应角度量化索引调制

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摘要

A robust image watermarking scheme based on angle quantization index modulation (AQIM) is proposed. The original AQIM method employs a fixed quantization step-size, which results in poor robustness of the algorithm. In this paper, the quantization step-size in AQIM scheme is adaptively selected using an exponential function. To keep the watermark imperceptible and increase its robustness, the low frequency components of high entropy image blocks are used for data hiding. The analytical error probability and embedding distortion are derived and assessed by simulations on artificial signals. Simulation results show that the proposed method has better performance in comparison with the conventional AQIM and recently proposed methods.
机译:提出了一种基于角度量化索引调制(AQIM)的鲁棒图像水印方案。 原始AQIM方法采用固定量化的阶梯大小,从而导致算法的稳健性差。 在本文中,使用指数函数自适应地选择AQIM方案中的量化步长。 为了使水印难以察觉并增加其鲁棒性,高熵图像块的低频分量用于数据隐藏。 通过对人工信号的模拟导出和评估分析误差概率和嵌入失真。 仿真结果表明,该方法与传统的AQIM和最近提出的方法相比具有更好的性能。

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