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Adaptive angle quantization index modulation for robust image watermarking

机译:鲁棒图像水印的自适应角度量化指标调制

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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指标调制(AQIM)的鲁棒图像水印方案。原始的AQIM方法采用固定的量化步长,导致算法的鲁棒性较差。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。为了保持水印不被察觉并增强其鲁棒性,高熵图像块的低频分量用于数据隐藏。通过对人工信号的仿真,得出并评估了分析误差概率和嵌入失真。仿真结果表明,与传统的AQIM和最近提出的方法相比,该方法具有更好的性能。

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